{"id":15600,"date":"2026-10-08T10:52:26","date_gmt":"2026-10-08T05:22:26","guid":{"rendered":"https:\/\/threatcop.com\/blog\/?p=15600"},"modified":"2026-10-08T10:52:28","modified_gmt":"2026-10-08T05:22:28","slug":"nlp-obfuscation-phishing","status":"publish","type":"post","link":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/","title":{"rendered":"NLP Obfuscation: How Phishing Emails Evade AI Filters"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">A phishing email with no obvious tricks might still be hiding one. Attackers now pad the bottom of a malicious email with pages of harmless text. They add real links and even a familiar company&#8217;s email signature. The goal is to confuse the AI models that scan email for threats, not the person reading it. Spotting this means looking past the message you see, to the one hiding beneath it.<\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_88 ez-toc-wrap-center counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #414141;color:#414141\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #414141;color:#414141\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#What_NLP_Detection_Actually_Does\" >What NLP Detection Actually Does<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#How_the_Technique_Works\" >How the Technique Works<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#Book_a_Free_Demo_Call_with_Our_Expert\" >Book a Free Demo Call with Our Expert<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#Why_This_Works_and_Why_It_Is_Spreading\" >Why This Works, and Why It Is Spreading<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#What_This_Means_for_Detection\" >What This Means for Detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#What_This_Means_for_Employees\" >What This Means for Employees<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#Train_for_What_Scanners_Miss\" >Train for What Scanners Miss<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#The_Bottom_Line\" >The Bottom Line<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_NLP_Detection_Actually_Does\"><\/span>What NLP Detection Actually Does<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">So modern email security does not just match known bad senders. It reads the words in a message. Then it scores how likely they are to signal a scam. This is natural language processing, or NLP. It is why a poorly worded phishing email often gets caught before a person ever sees it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The scoring works on balance. A message full of threat words, such as &#8220;urgent,&#8221; &#8220;verify,&#8221; and &#8220;suspended,&#8221; scores as risky. A message full of ordinary, calm language scores as safe. Attackers found the lever hiding in plain sight. Add enough safe-sounding content, and the average pulls the whole message toward safe.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_the_Technique_Works\"><\/span>How the Technique Works<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For this NLP obfuscation technique, security researchers studied the underlying pattern. They found a consistent two-part structure in the emails that use it.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Part<\/strong><\/th><th><strong>What it contains<\/strong><\/th><th><strong>Purpose<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Top section<\/td><td>The actual phishing attempt<\/td><td>What the attacker wants you to act on<\/td><\/tr><tr><td>Separator<\/td><td>Dozens or hundreds of blank line breaks<\/td><td>Pushes the real content out of easy view<\/td><\/tr><tr><td>Bottom section<\/td><td>Real company signatures, real links, filler text<\/td><td>Confuses the scoring system<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Egress&#8217;s threat intelligence unit first flagged the pattern, and KnowBe4, which owns Egress, later republished the same analysis of 40 recent attacks. They found that links to well-known brands were the most common padding, alongside random characters and copied email threads. A real Bank of America email signature was the most frequent append. On average, a padded email carried roughly five real links against about two malicious ones.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The blank-line separator matters as much as the padding itself, a cousin of the technique behind <a href=\"https:\/\/threatcop.com\/blog\/phishing-kit-tools\/\">modern phishing kits<\/a> that ship ready-made evasion features. By pushing the hidden part far enough down, the attacker bets the recipient will never scroll that far. Meanwhile, the scanning system still has to read the whole message to compute a score.<\/p>\n\n\n\n<meta charset=\"UTF-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n<title>Threatcop \u2013 Book a Free Demo<\/title>\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Outfit:wght@300;400;500;600;700&#038;display=swap\" rel=\"stylesheet\">\n<style>\n  .tc-wrap , .tc-wrap ::before, .tc-wrap ::after { box-sizing: border-box; margin: 0; padding: 0; }\n  .tc-wrap { font-family: 'Outfit', sans-serif; width: 100%; display: flex; justify-content: center; padding: 20px 10px; }\n  .tc-card { width: 100%; max-width: 820px; background: #fff; border-radius: 20px; overflow: hidden; box-shadow: 0 20px 60px rgba(24,57,148,0.13), 0 4px 16px rgba(24,57,148,0.07); display: flex; flex-direction: row; }\n  .tc-left { background: linear-gradient(160deg, #1e44b0 0%, #183994 40%, #0e2570 100%); width: 320px; flex-shrink: 0; padding: 40px 32px; display: flex; flex-direction: column; justify-content: center; position: relative; overflow: hidden; }\n  .tc-left::before { content: ''; position: absolute; inset: 0; background-image: radial-gradient(rgba(255,255,255,0.08) 1.5px, transparent 1.5px); background-size: 22px 22px; }\n  .tc-left::after { content: ''; position: absolute; bottom: -60px; right: -60px; width: 220px; height: 220px; background: radial-gradient(circle, rgba(99,179,255,0.22) 0%, transparent 65%); border-radius: 50%; pointer-events: none; }\n  .tc-panel-inner { position: relative; z-index: 1; }\n  .tc-badge { display: inline-flex !important; align-items: center !important; gap: 6px; background: rgba(255,255,255,0.1) !important; border: 1px solid rgba(255,255,255,0.18) !important; border-radius: 20px !important; padding: 4px 14px 4px 10px !important; font-size: 12.5px !important; font-weight: 600 !important; letter-spacing: .09em !important; text-transform: uppercase !important; color: rgba(255,255,255,0.85) !important; margin-bottom: 18px !important; font-family: 'Outfit', sans-serif !important; line-height: 1.4 !important; }\n  .tc-badge-dot { width: 6px; height: 6px; background: #5cd9a0; border-radius: 50%; box-shadow: 0 0 6px #5cd9a0; flex-shrink: 0; display: inline-block; }\n  .tc-left h1, .tc-left h2, .tc-left h3, .tc-left h4, .tc-left h5, .tc-left h6 { color: #ffffff !important; font-family: 'Outfit', sans-serif !important; font-size: 28px !important; font-weight: 700 !important; line-height: 1.35 !important; letter-spacing: -0.3px !important; margin: 0 !important; padding: 0 !important; background: none !important; -webkit-text-fill-color: #ffffff !important; }\n  .tc-left h2 em { font-style: normal !important; color: #7ec8ff !important; -webkit-text-fill-color: #7ec8ff !important; }\n  .tc-left p, .tc-left .tc-sub { color: rgba(255,255,255,0.78) !important; -webkit-text-fill-color: rgba(255,255,255,0.78) !important; font-family: 'Outfit', sans-serif !important; font-size: 14px !important; font-weight: 300 !important; line-height: 1.65 !important; margin-top: 12px !important; background: none !important; }\n  .tc-right { flex: 1; padding: 32px 32px 28px; display: flex; flex-direction: column; justify-content: center; }\n  .tc-form-title { font-size: 13px !important; font-weight: 600 !important; letter-spacing: .12em; text-transform: uppercase; color: #8fa4cc !important; margin-bottom: 20px !important; display: flex !important; align-items: center !important; gap: 10px; font-family: 'Outfit', sans-serif !important; }\n  .tc-form-title::after { content: ''; flex: 1; height: 1px; background: #eef1fa; }\n  .tc-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 14px; }\n  .tc-field { display: flex; flex-direction: column; gap: 5px; }\n  .tc-field.full { grid-column: 1 \/ -1; }\n  .tc-field label { font-size: 13px !important; font-weight: 600 !important; color: #3a4f7a !important; letter-spacing: .04em; text-transform: uppercase; font-family: 'Outfit', sans-serif !important; display: block !important; }\n  .tc-input-wrap { position: relative; display: flex; align-items: center; }\n  .tc-input-wrap .tc-fi { position: absolute; right: 12px; width: 15px; height: 15px; stroke: #c0ccdf; stroke-width: 1.8; pointer-events: none; fill: none; }\n  .tc-wrap input[type=\"text\"], .tc-wrap input[type=\"email\"], .tc-wrap input[type=\"number\"] { width: 100% !important; border: 1.5px solid #e2e9f7 !important; border-radius: 10px !important; padding: 9px 34px 9px 13px !important; font-family: 'Outfit', sans-serif !important; font-size: 15px !important; font-weight: 400 !important; color: #1e2d50 !important; background: #f8faff !important; outline: none !important; transition: border-color .2s, background .2s, box-shadow .2s; -moz-appearance: textfield; box-shadow: none !important; -webkit-text-fill-color: #1e2d50 !important; }\n  .tc-wrap input[type=\"number\"]::-webkit-inner-spin-button, .tc-wrap input[type=\"number\"]::-webkit-outer-spin-button { -webkit-appearance: none; }\n  .tc-wrap input::placeholder { color: #c0ccdf !important; -webkit-text-fill-color: #c0ccdf !important; opacity: 1; }\n  .tc-wrap input:focus { border-color: #183994 !important; background: #fff !important; box-shadow: 0 0 0 3.5px rgba(24,57,148,0.1) !important; }\n  .tc-phone-row { display: flex; gap: 8px; }\n  .tc-flag-select { position: relative; flex-shrink: 0; }\n  .tc-flag-select select { appearance: none !important; -webkit-appearance: none !important; border: 1.5px solid #e2e9f7 !important; border-radius: 10px !important; padding: 9px 26px 9px 12px !important; font-family: 'Outfit', sans-serif !important; font-size: 14px !important; font-weight: 500 !important; color: #1e2d50 !important; background: #f8faff !important; outline: none !important; cursor: pointer; width: 100px !important; transition: border-color .2s, box-shadow .2s; }\n  .tc-flag-select select:focus { border-color: #183994 !important; box-shadow: 0 0 0 3.5px rgba(24,57,148,0.1) !important; }\n  .tc-flag-select::after { content: ''; position: absolute; right: 10px; top: 50%; transform: translateY(-50%); width: 0; height: 0; border-left: 4px solid transparent; border-right: 4px solid transparent; border-top: 5px solid #a0b0cc; pointer-events: none; }\n  .tc-phone-row .tc-input-wrap { flex: 1; }\n  .tc-btn-submit { width: 100% !important; margin-top: 18px !important; padding: 11px !important; background: #183994 !important; border: none !important; border-radius: 10px !important; color: #fff !important; -webkit-text-fill-color: #fff !important; font-family: 'Outfit', sans-serif !important; font-size: 15px !important; font-weight: 600 !important; letter-spacing: .05em; cursor: pointer; display: flex !important; align-items: center !important; justify-content: center !important; gap: 9px; transition: background .2s, transform .15s, box-shadow .2s; box-shadow: 0 6px 24px rgba(24,57,148,0.28) !important; text-decoration: none !important; }\n  .tc-btn-submit:hover { background: #1d46b5 !important; transform: translateY(-1px); box-shadow: 0 10px 32px rgba(24,57,148,0.35) !important; color: #fff !important; }\n  .tc-btn-submit:active { transform: translateY(0); }\n  .tc-btn-submit svg { width: 16px; height: 16px; stroke: #fff; stroke-width: 2.2; fill: none; flex-shrink: 0; }\n  .tc-trust { margin-top: 10px !important; display: flex !important; align-items: center !important; justify-content: center !important; gap: 5px; font-size: 13px !important; color: #a0b0cc !important; font-family: 'Outfit', sans-serif !important; }\n  .tc-trust svg { width: 12px; height: 12px; stroke: #a0b0cc; stroke-width: 2; fill: none; flex-shrink: 0; }\n  @media (max-width: 680px) {\n    .tc-card { flex-direction: column !important; }\n    .tc-left { width: 100% !important; padding: 28px 24px 24px !important; }\n    .tc-right { padding: 24px 20px !important; }\n    .tc-grid { grid-template-columns: 1fr !important; }\n    .tc-field.full { grid-column: 1 !important; }\n  }\n<\/style>\n\n<div class=\"tc-wrap\">\n  <div class=\"tc-card\">\n    <div class=\"tc-left\">\n      <div class=\"tc-panel-inner\">\n        <div class=\"tc-badge\">\n          <span class=\"tc-badge-dot\"><\/span>\n          People Security Management\n        <\/div>\n        <h2><span class=\"ez-toc-section\" id=\"Book_a_Free_Demo_Call_with_Our_Expert\"><\/span>Book a Free<br><em>Demo Call<\/em><br>with Our Expert<span class=\"ez-toc-section-end\"><\/span><\/h2>\n        <p class=\"tc-sub\">Discover how Threatcop protects your workforce from modern cyber threats.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"tc-right\">\n      <div class=\"tc-form-title\">Your Details<\/div>\n      <form action=\"https:\/\/threatcop.com\/thankyou-blog\" method=\"get\" target=\"_blank\">\n        <input type=\"hidden\" name=\"BlogForm\" value=\"BlogForm\">\n        <input type=\"hidden\" name=\"PageSource\" id=\"tc-page-source\" value=\"\">\n        <div class=\"tc-grid\">\n          <div class=\"tc-field\">\n            <label>Full Name<\/label>\n            <div class=\"tc-input-wrap\">\n              <input type=\"text\" name=\"FullName\" placeholder=\"Jane Smith\" required=\"\">\n              <svg class=\"tc-fi\" viewBox=\"0 0 24 24\" stroke-linecap=\"round\"><circle cx=\"12\" cy=\"8\" r=\"4\"><\/circle><path d=\"M4 20c0-4 3.58-7 8-7s8 3 8 7\"><\/path><\/svg>\n            <\/div>\n          <\/div>\n          <div class=\"tc-field\">\n            <label>Company Name<\/label>\n            <div class=\"tc-input-wrap\">\n              <input type=\"text\" name=\"CompanyName\" placeholder=\"Acme Corp\" required=\"\">\n              <svg class=\"tc-fi\" viewBox=\"0 0 24 24\" stroke-linecap=\"round\"><rect x=\"3\" y=\"3\" width=\"18\" height=\"18\" rx=\"2\"><\/rect><path d=\"M9 3v18M3 9h6M3 15h6\"><\/path><\/svg>\n            <\/div>\n          <\/div>\n          <div class=\"tc-field full\">\n            <label>Corporate Email<\/label>\n            <div class=\"tc-input-wrap\">\n              <input type=\"email\" name=\"email\" placeholder=\"jane@yourcompany.com\" required=\"\">\n              <svg class=\"tc-fi\" viewBox=\"0 0 24 24\" stroke-linecap=\"round\"><rect x=\"2\" y=\"4\" width=\"20\" height=\"16\" rx=\"2\"><\/rect><polyline points=\"2,4 12,13 22,4\"><\/polyline><\/svg>\n            <\/div>\n          <\/div>\n          <div class=\"tc-field full\">\n            <label>Phone Number<\/label>\n            <div class=\"tc-input-wrap\">\n              <input type=\"number\" name=\"Phone\" placeholder=\"98765 43210\" required=\"\">\n              <svg class=\"tc-fi\" viewBox=\"0 0 24 24\" stroke-linecap=\"round\"><path d=\"M22 16.92v3a2 2 0 01-2.18 2A19.79 19.79 0 013.09 4.18 2 2 0 015.07 2h3a2 2 0 012 1.72c.13.96.36 1.9.71 2.81a2 2 0 01-.45 2.11L9.09 9.91a16 16 0 006 6l1.27-1.27a2 2 0 012.11-.45c.91.35 1.85.58 2.81.71A2 2 0 0122 16.92z\"><\/path><\/svg>\n            <\/div>\n          <\/div>\n        <\/div>\n        <button type=\"submit\" class=\"tc-btn-submit\">\n          <svg viewBox=\"0 0 24 24\" stroke-linecap=\"round\"><path d=\"M22 2L11 13M22 2L15 22l-4-9-9-4 20-7z\"><\/path><\/svg>\n          Book My Free Demo\n        <\/button>\n        <div class=\"tc-trust\">\n          <svg viewBox=\"0 0 24 24\" stroke-linecap=\"round\"><rect x=\"3\" y=\"11\" width=\"18\" height=\"11\" rx=\"2\"><\/rect><path d=\"M7 11V7a5 5 0 0110 0v4\"><\/path><\/svg>\n          Your data is safe &amp; never shared with third parties\n        <\/div>\n      <\/form>\n    <\/div>\n  <\/div>\n<\/div>\n<script>document.getElementById('tc-page-source').value = window.location.href;<\/script>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Why_This_Works_and_Why_It_Is_Spreading\"><\/span>Why This Works, and Why It Is Spreading<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The NLP obfuscation technique exploits a real tradeoff in how these systems work. A scanner has to read the entire email to understand its content. So more content takes more time. Some security tools release a message if scanning takes too long, rather than hold up delivery forever. A deliberately bloated email can cross that threshold. It gets released before a full verdict is reached.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It also exploits volume over precision. Stacking five benign links against two malicious ones shifts the average. No single part has to be deceptive on its own. The system is not wrong about any single part. It is wrong about what the parts add up to.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is not an isolated trick. <a href=\"https:\/\/cyberscoop.com\/email-natural-language-obfuscation-phishing-egress\/\" rel=\"nofollow noopener\" target=\"_blank\">Separate research from Egress<\/a> found that most malicious emails combined two or more obfuscation methods at once. So this technique rarely travels alone.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_This_Means_for_Detection\"><\/span>What This Means for Detection<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A security team cannot fix this by reading harder. The fix has to change what the system looks at, and how it decides.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Score by density, not just average.<\/strong> A short block of bad content, followed by a long block of filler, should not dilute to safe. The bad section&#8217;s own severity should count for more than its share of total length.<\/li>\n\n\n\n<li><strong>Flag unusual structure directly.<\/strong> Dozens of blank line breaks followed by unrelated content is itself a signal, independent of what either section says.<\/li>\n\n\n\n<li><strong>Report and remove in bulk.<\/strong> Automated <a href=\"https:\/\/threatcop.com\/threatcop-phishing-incident-response\">removal of reported mail across every inbox<\/a> closes the gap a scanner&#8217;s timeout leaves open.<\/li>\n\n\n\n<li><strong>Do not release on a timeout.<\/strong> A message that takes unusually long to scan deserves a hold, not a free pass.<\/li>\n\n\n\n<li><strong>Analyze the whole message, not a summary.<\/strong> A system that cuts off a long email before scoring it may only be looking at the padded, harmless half.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_This_Means_for_Employees\"><\/span>What This Means for Employees<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">NLP obfuscation targets software, not people. So employee training does not need to change its core message. If a phishing email reaches an inbox because it beat a scanner, it still looks like a phishing email once a person reads it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What matters is that staff do not assume length or extra content equals legitimacy. A message that trails off into an unrelated company&#8217;s marketing footer, right after the real request, is itself worth a second look. Most people will never scroll that far to see it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reporting still closes the loop that detection alone cannot. A human reading the top of the email sees the same attempt a machine was tricked into scoring as safe.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Train_for_What_Scanners_Miss\"><\/span>Train for What Scanners Miss<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Technical evasion tricks like this one are exactly why detection alone was never enough. <a href=\"https:\/\/threatcop.com\/threatcop-security-awareness-training\">Threatcop Security Awareness Training (TSAT)<\/a> builds the habit that catches what automated filters let through, since a person judging intent does not get fooled by padding the way a scoring model can.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Its simulations test the judgment call directly. They present realistic lures without relying on the message ever first failing a technical filter. Average breach time, meaning how long from lure to compromise, and the Employee Vulnerability Score both measure whether that judgment is actually improving. A clean filter history alone does not prove a trained workforce. Repeat-offender identification then points coaching at the people who need it, instead of treating every employee the same after one evasive email gets through.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_Bottom_Line\"><\/span>The Bottom Line<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">NLP obfuscation succeeds by exploiting a tradeoff detection systems cannot fully escape. More content takes more time to analyze, and averaging risk across a longer message dilutes a real threat sitting at the top of it. Fixing the scoring model helps, but it will not be the last evasion trick attackers find. One thing stays constant across every version of this problem. It is a person who reads the actual request, notices it does not add up, and reports it before anyone acts on it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\t\t<div class=\"sp-easy-accordion-block sp-eab-regular-accordion alignwide\"\n\t\t\t\t>\n\t\t\t<div class=\"sp-eab-wrapper sp-eab-vertical-accordion sp-eab-752606b677bb\">\n\t\t\t\t\t\t\t\t<div class='sp-eab-accordion sp-eab-mode-vertical sp-eab-vertical-one sp-d-flex' data-accordion-settings=\"{&quot;mode&quot;:&quot;vertical&quot;,&quot;activeEvent&quot;:&quot;click&quot;,&quot;defaultAccordionOpen&quot;:&quot;first-item&quot;,&quot;selectedItemOpen&quot;:0,&quot;openMultiItemAtaTime&quot;:false,&quot;scrollToTopOnLoad&quot;:false,&quot;scrollToTopOnClick&quot;:false,&quot;accordionItemToUrl&quot;:false,&quot;animationEffect&quot;:false,&quot;applyAccessibility&quot;:true}\">\n        \t    \t\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-f1ae1d7a9872\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-b677bb\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-b677bb'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tWhat is NLP obfuscation in phishing emails?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-b677bb'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">NLP obfuscation pads a phishing email with large amounts of harmless text, real links, and real signatures. The goal is to confuse AI-based email filters that score messages by their language. The overall message looks safe on average, even though the top of it is malicious.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-ccf26b82b86d\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-b677bb\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-b677bb'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tWhy do attackers use real company signatures and links?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-b677bb'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">Real signatures and links from well-known brands rarely appear on any email security blocklist. So including them adds content the scanning system trusts. Researchers found Bank of America&#8217;s email signature was the most common choice. It is instantly recognizable and never flagged as suspicious on its own.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-5550a3ca6122\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-b677bb\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-b677bb'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tCan this technique bypass secure email gateways and ICES tools?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-b677bb'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">NLP obfuscation targets natural language processing detection specifically, since that is the whole point of the technique. That capability is more common in integrated cloud email security tools than in traditional gateways. Tools relying mainly on sender and link reputation are less affected, though they may miss the same emails for other reasons.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-21625c7f7cf8\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-b677bb\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-b677bb'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tDoes this mean AI-based email security does not work?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-b677bb'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">No, but it shows that scoring by average content risk has a real weakness. The fix is better scoring. That means flagging unusual structure and refusing to auto-release delayed scans, not dropping AI-based detection altogether.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-a997d50189a4\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-b677bb\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-b677bb'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tHow can employees help catch emails that evade filters?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-b677bb'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">Do not assume a long or polished email is automatically safe. Report anything that asks for credentials, payment, or urgent action, no matter how clean the rest of the message looks. <a href=\"https:\/\/threatcop.com\/blog\/how-incident-reporting-culture-prevents-greater-damage\/\">A blame-free reporting culture<\/a> matters most here, since the email reached the inbox by design, and someone still has to flag it.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Attackers now pad phishing emails with real signatures and harmless text to confuse AI scanners. See how the technique works and what actually stops it.<\/p>\n","protected":false},"author":22,"featured_media":15604,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[],"class_list":["post-15600","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-email-security"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NLP Obfuscation: How Phishing Emails Evade AI Filters<\/title>\n<meta name=\"description\" content=\"Attackers now pad phishing emails with real signatures and harmless text to confuse AI scanners. See how the technique works and what actually stops it.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NLP Obfuscation: How Phishing Emails Evade AI Filters\" \/>\n<meta property=\"og:description\" content=\"Attackers now pad phishing emails with real signatures and harmless text to confuse AI scanners. See how the technique works and what actually stops it.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/\" \/>\n<meta property=\"og:site_name\" content=\"Threatcop\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/people\/Threatcop\/100083109892339\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-10-08T05:22:26+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-08T05:22:28+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/10\/NLP-Obfuscation-Phishing-blog-banner.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Shikha Mishra\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@threatcop\" \/>\n<meta name=\"twitter:site\" content=\"@threatcop\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Shikha Mishra\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/\"},\"author\":{\"name\":\"Shikha Mishra\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#\\\/schema\\\/person\\\/b726b18845470084a82f5fed6875910b\"},\"headline\":\"NLP Obfuscation: How Phishing Emails Evade AI Filters\",\"datePublished\":\"2026-10-08T05:22:26+00:00\",\"dateModified\":\"2026-10-08T05:22:28+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/\"},\"wordCount\":1276,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/NLP-Obfuscation-Phishing-blog-banner.png\",\"articleSection\":[\"Email Security\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/\",\"url\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/\",\"name\":\"NLP Obfuscation: How Phishing Emails Evade AI Filters\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/NLP-Obfuscation-Phishing-blog-banner.png\",\"datePublished\":\"2026-10-08T05:22:26+00:00\",\"dateModified\":\"2026-10-08T05:22:28+00:00\",\"description\":\"Attackers now pad phishing emails with real signatures and harmless text to confuse AI scanners. See how the technique works and what actually stops it.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#primaryimage\",\"url\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/NLP-Obfuscation-Phishing-blog-banner.png\",\"contentUrl\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/NLP-Obfuscation-Phishing-blog-banner.png\",\"width\":1280,\"height\":720,\"caption\":\"Threatcop blog banner reading NLP Obfuscation in Phishing, How Emails Evade AI Filters, over an abstract network graph on a dark navy background\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/nlp-obfuscation-phishing\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"NLP Obfuscation: How Phishing Emails Evade AI Filters\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/\",\"name\":\"Threatcop\",\"description\":\"Cybersecurity Blogs, News, Updates, and Articles\",\"publisher\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#organization\",\"name\":\"Threatcop\",\"url\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/threatcop-logo-black-1.png\",\"contentUrl\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/threatcop-logo-black-1.png\",\"width\":432,\"height\":102,\"caption\":\"Threatcop\"},\"image\":{\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/people\\\/Threatcop\\\/100083109892339\\\/\",\"https:\\\/\\\/x.com\\\/threatcop\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/threatcop\\\/\",\"https:\\\/\\\/www.instagram.com\\\/threatcop_official\\\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/#\\\/schema\\\/person\\\/b726b18845470084a82f5fed6875910b\",\"name\":\"Shikha Mishra\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/08\\\/avatar_user_22_1756470936.png\",\"url\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/08\\\/avatar_user_22_1756470936.png\",\"contentUrl\":\"https:\\\/\\\/threatcop.com\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/08\\\/avatar_user_22_1756470936.png\",\"caption\":\"Shikha Mishra\"},\"description\":\"Shikha Mishra is responsible for driving the growth and adoption of TDMARC, a flagship product of Threatcop, across India, the Middle East, APAC, and the UK region. With her expertise, she helps organizations safeguard their domains so that no hacker can misuse them to send fraudulent emails, thereby protecting both their brand and reputation. She is passionate about enabling businesses to simplify the complexities of outbound email security through TDMARC\u2019s comprehensive solution, allowing them to stay focused on what matters most to their success.\",\"sameAs\":[\"https:\\\/\\\/threatcop.com\\\/\",\"https:\\\/\\\/www.linkedin.com\\\/in\\\/shikha-mishra-9594771b5\\\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"NLP Obfuscation: How Phishing Emails Evade AI Filters","description":"Attackers now pad phishing emails with real signatures and harmless text to confuse AI scanners. See how the technique works and what actually stops it.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/","og_locale":"en_US","og_type":"article","og_title":"NLP Obfuscation: How Phishing Emails Evade AI Filters","og_description":"Attackers now pad phishing emails with real signatures and harmless text to confuse AI scanners. See how the technique works and what actually stops it.","og_url":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/","og_site_name":"Threatcop","article_publisher":"https:\/\/www.facebook.com\/people\/Threatcop\/100083109892339\/","article_published_time":"2026-10-08T05:22:26+00:00","article_modified_time":"2026-10-08T05:22:28+00:00","og_image":[{"width":1280,"height":720,"url":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/10\/NLP-Obfuscation-Phishing-blog-banner.png","type":"image\/png"}],"author":"Shikha Mishra","twitter_card":"summary_large_image","twitter_creator":"@threatcop","twitter_site":"@threatcop","twitter_misc":{"Written by":"Shikha Mishra","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#article","isPartOf":{"@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/"},"author":{"name":"Shikha Mishra","@id":"https:\/\/threatcop.com\/blog\/#\/schema\/person\/b726b18845470084a82f5fed6875910b"},"headline":"NLP Obfuscation: How Phishing Emails Evade AI Filters","datePublished":"2026-10-08T05:22:26+00:00","dateModified":"2026-10-08T05:22:28+00:00","mainEntityOfPage":{"@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/"},"wordCount":1276,"commentCount":0,"publisher":{"@id":"https:\/\/threatcop.com\/blog\/#organization"},"image":{"@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#primaryimage"},"thumbnailUrl":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/10\/NLP-Obfuscation-Phishing-blog-banner.png","articleSection":["Email Security"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/","url":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/","name":"NLP Obfuscation: How Phishing Emails Evade AI Filters","isPartOf":{"@id":"https:\/\/threatcop.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#primaryimage"},"image":{"@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#primaryimage"},"thumbnailUrl":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/10\/NLP-Obfuscation-Phishing-blog-banner.png","datePublished":"2026-10-08T05:22:26+00:00","dateModified":"2026-10-08T05:22:28+00:00","description":"Attackers now pad phishing emails with real signatures and harmless text to confuse AI scanners. See how the technique works and what actually stops it.","breadcrumb":{"@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#primaryimage","url":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/10\/NLP-Obfuscation-Phishing-blog-banner.png","contentUrl":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/10\/NLP-Obfuscation-Phishing-blog-banner.png","width":1280,"height":720,"caption":"Threatcop blog banner reading NLP Obfuscation in Phishing, How Emails Evade AI Filters, over an abstract network graph on a dark navy background"},{"@type":"BreadcrumbList","@id":"https:\/\/threatcop.com\/blog\/nlp-obfuscation-phishing\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/threatcop.com\/blog\/"},{"@type":"ListItem","position":2,"name":"NLP Obfuscation: How Phishing Emails Evade AI Filters"}]},{"@type":"WebSite","@id":"https:\/\/threatcop.com\/blog\/#website","url":"https:\/\/threatcop.com\/blog\/","name":"Threatcop","description":"Cybersecurity Blogs, News, Updates, and Articles","publisher":{"@id":"https:\/\/threatcop.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/threatcop.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/threatcop.com\/blog\/#organization","name":"Threatcop","url":"https:\/\/threatcop.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/threatcop.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/08\/threatcop-logo-black-1.png","contentUrl":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2026\/08\/threatcop-logo-black-1.png","width":432,"height":102,"caption":"Threatcop"},"image":{"@id":"https:\/\/threatcop.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/people\/Threatcop\/100083109892339\/","https:\/\/x.com\/threatcop","https:\/\/www.linkedin.com\/company\/threatcop\/","https:\/\/www.instagram.com\/threatcop_official\/"]},{"@type":"Person","@id":"https:\/\/threatcop.com\/blog\/#\/schema\/person\/b726b18845470084a82f5fed6875910b","name":"Shikha Mishra","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2025\/08\/avatar_user_22_1756470936.png","url":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2025\/08\/avatar_user_22_1756470936.png","contentUrl":"https:\/\/threatcop.com\/blog\/wp-content\/uploads\/2025\/08\/avatar_user_22_1756470936.png","caption":"Shikha Mishra"},"description":"Shikha Mishra is responsible for driving the growth and adoption of TDMARC, a flagship product of Threatcop, across India, the Middle East, APAC, and the UK region. With her expertise, she helps organizations safeguard their domains so that no hacker can misuse them to send fraudulent emails, thereby protecting both their brand and reputation. She is passionate about enabling businesses to simplify the complexities of outbound email security through TDMARC\u2019s comprehensive solution, allowing them to stay focused on what matters most to their success.","sameAs":["https:\/\/threatcop.com\/","https:\/\/www.linkedin.com\/in\/shikha-mishra-9594771b5\/"]}]}},"_links":{"self":[{"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/posts\/15600","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/comments?post=15600"}],"version-history":[{"count":1,"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/posts\/15600\/revisions"}],"predecessor-version":[{"id":15606,"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/posts\/15600\/revisions\/15606"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/media\/15604"}],"wp:attachment":[{"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/media?parent=15600"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/categories?post=15600"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/threatcop.com\/blog\/wp-json\/wp\/v2\/tags?post=15600"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}