docs: Cross-language threat detection capabilities - #102

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Knowledge Update: Cross-language threat detection capabilities

This PR was automatically generated from a knowledge base update.

Changes

  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.

Knowledge Entry

Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20

Content:

ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.

Original Message

please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.

Auto-generated by the ChainPatrol Knowledge Agent

Note

Low Risk
Documentation-only changes with no runtime, security, or data-handling impact.

Overview
Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.

On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.

On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.

Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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docs: Cross-language threat detection capabilities - #102
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knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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docs: Cross-language threat detection capabilities#102
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mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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Jul 20, 2026•

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Knowledge Update: Cross-language threat detection capabilities
This PR was automatically generated from a knowledge base update.
Changes
  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.
Knowledge Entry
Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20
Content:
ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.
Original Message
please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.
Auto-generated by the ChainPatrol Knowledge Agent
Note
Low Risk

Documentation-only changes with no runtime, security, or data-handling impact.
Overview

Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.
On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.
On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.
Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
docs: Cross-language threat detection capabilities - #102
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knowledge-update/cross-language-threat-detection-capabilities-1784552737571
Open
docs: Cross-language threat detection capabilities#102
NikitaVr wants to merge 2 commits into
mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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commented
Jul 20, 2026•

edited by cursor
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Knowledge Update: Cross-language threat detection capabilities
This PR was automatically generated from a knowledge base update.
Changes
  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.
Knowledge Entry
Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20
Content:
ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.
Original Message
please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.
Auto-generated by the ChainPatrol Knowledge Agent
Note
Low Risk

Documentation-only changes with no runtime, security, or data-handling impact.
Overview

Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.
On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.
On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.
Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
docs: Cross-language threat detection capabilities - #102
Open
NikitaVr wants to merge 2 commits into
mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
Open
docs: Cross-language threat detection capabilities#102
NikitaVr wants to merge 2 commits into
mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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commented
Jul 20, 2026•

edited by cursor
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Knowledge Update: Cross-language threat detection capabilities
This PR was automatically generated from a knowledge base update.
Changes
  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.
Knowledge Entry
Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20
Content:
ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.
Original Message
please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.
Auto-generated by the ChainPatrol Knowledge Agent
Note
Low Risk

Documentation-only changes with no runtime, security, or data-handling impact.
Overview

Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.
On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.
On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.
Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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docs: Cross-language threat detection capabilities - #102
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knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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docs: Cross-language threat detection capabilities#102
NikitaVr wants to merge 2 commits into
mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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edited by cursor
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Knowledge Update: Cross-language threat detection capabilities
This PR was automatically generated from a knowledge base update.
Changes
  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.
Knowledge Entry
Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20
Content:
ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.
Original Message
please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.
Auto-generated by the ChainPatrol Knowledge Agent
Note
Low Risk

Documentation-only changes with no runtime, security, or data-handling impact.
Overview

Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.
On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.
On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.
Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
docs: Cross-language threat detection capabilities - #102
Open
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knowledge-update/cross-language-threat-detection-capabilities-1784552737571
Open
docs: Cross-language threat detection capabilities#102
NikitaVr wants to merge 2 commits into
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knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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Jul 20, 2026•

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Knowledge Update: Cross-language threat detection capabilities
This PR was automatically generated from a knowledge base update.
Changes
  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.
Knowledge Entry
Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20
Content:
ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.
Original Message
please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.
Auto-generated by the ChainPatrol Knowledge Agent
Note
Low Risk

Documentation-only changes with no runtime, security, or data-handling impact.
Overview

Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.
On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.
On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.
Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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docs: Cross-language threat detection capabilities - #102
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knowledge-update/cross-language-threat-detection-capabilities-1784552737571
Open
docs: Cross-language threat detection capabilities#102
NikitaVr wants to merge 2 commits into
mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
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commented
Jul 20, 2026•

edited by cursor
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Knowledge Update: Cross-language threat detection capabilities
This PR was automatically generated from a knowledge base update.
Changes
  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.
Knowledge Entry
Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20
Content:
ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.
Original Message
please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.
Auto-generated by the ChainPatrol Knowledge Agent
Note
Low Risk

Documentation-only changes with no runtime, security, or data-handling impact.
Overview

Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.
On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.
On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.
Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.
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ProjectStatusPreviewUpdated (UTC)
chainpatrol🔴 Failed–Jul 20, 2026, 1:06 PM
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chainpatrol🟡 Building–Jul 20, 2026, 1:06 PM
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
docs: Cross-language threat detection capabilities - #102
Open
NikitaVr wants to merge 2 commits into
mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
Open
docs: Cross-language threat detection capabilities#102
NikitaVr wants to merge 2 commits into
mainfrom 
knowledge-update/cross-language-threat-detection-capabilities-1784552737571
Conversation
@NikitaVr
@NikitaVrNikitaVr
commented
Jul 20, 2026•

edited by cursor
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Loading

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Knowledge Update: Cross-language threat detection capabilities
This PR was automatically generated from a knowledge base update.
Changes
  • Detections (concepts/detections.mdx): Add information about cross-language threat detection capabilities, including LLM-based recognition for non-English threats and how confidence levels affect automatic blocking vs. auto-reporting.
  • Detection Sources (getting-started/how-it-works/detection-sources.mdx): Add note about cross-language detection capabilities in the detection sources overview.
Knowledge Entry
Topic: Cross-language threat detection capabilities
Added by:maksym@chainpatrol.io
Date: 2026-07-20
Content:
ChainPatrol does detect threats across different languages. The system uses LLM-based cross-language recognition to classify non-English threats. However, some specific detection rules only consider English words, so for non-English threats the LLM-based recognition might not entirely fill the confidence bar to automatically block those assets — but it should correctly classify them for auto-reporting at minimum. Non-English threats that are auto-reported still enter the review queue where human reviewers can make the final call.
Original Message
please update your knowledge. our system does catch threats in different languages, but since some specific rules are only consider English words - we only rely on LLM-based cross-language recognition, which might not entirely fill the confidence bar to automatically block those assets, but should correctly classify them at least for auto-reporting.
Auto-generated by the ChainPatrol Knowledge Agent
Note
Low Risk

Documentation-only changes with no runtime, security, or data-handling impact.
Overview

Documents cross-language threat detection so readers understand how non-English threats are handled end-to-end.
On Detections, a new overview paragraph explains LLM-based classification for non-English content, English-specific rules and confidence thresholds (auto-block vs auto-report), and that auto-reported items still go through human review.
On Detection Sources, a <Note> in the overview states the same cross-language capability and that non-English findings are still surfaced for review despite English-centric rules.
Reviewed by Cursor Bugbot for commit 1f011b4. Bugbot is set up for automated code reviews on this repo. Configure here.
@mintlify
mintlifyBot
commented
Jul 20, 2026

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ProjectStatusPreviewUpdated (UTC)
chainpatrol🔴 Failed–Jul 20, 2026, 1:06 PM
@mintlify
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commented
Jul 20, 2026

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Preview deployment for your docs. Learn more about Mintlify Previews.
ProjectStatusPreviewUpdated (UTC)
chainpatrol🟡 Building–Jul 20, 2026, 1:06 PM
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