YT Subtitle - Video Summarizer & Translator

AI Security Review

Evidence context: threat category none; evidence quality moderate.

This extension exhibits a classic false-positive pattern documented in CVEQ's known noise sources. The 414 IoC findings are dominated by property access chains misread as domains by the XIOC extractor. Specific examples include XIOC-DOMAIN-g.data, XIOC-DOMAIN-ct.id, XIOC-DOMAIN-we.id, XIOC-DOMAIN-ye.id, and XIOC-DOMAIN-z.id - these follow the exact pattern of JavaScript property access (object.property) that the guidelines identify as IoC extractor garbage. None of these are real domains; they are substrings from minified JavaScript code.

The network findings show NET-FETCH-background.js-2 and NET-FETCH-yt-inject.js-202, which are generic fetch call detections without any specific suspicious domain targets. These are expected for an extension that needs to fetch YouTube subtitles and translation data. No actual external domains appear in the network findings that would indicate credential theft, browser hijacking, or data exfiltration.

Critically, the extension has zero malware signatures and zero obfuscation findings. The 41 code-smell findings are classified as low severity and represent noise from generic code patterns (fetch, crypto, etc.) that fire on almost any non-trivial JavaScript according to the CVEQ false-positive documentation. The extension's stated purpose - YouTube subtitle extraction, translation, and summarization - is legitimate functionality that requires network access and does not inherently indicate malicious intent.

The developer attribution ([email protected]) is a generic Gmail address rather than a verified organization, and the user count (11) is very low. However, these factors alone do not constitute evidence of malicious behavior. The extension name does not impersonate any known extension, and there are no typosquatting indicators.

Counterargument: A skeptic might argue that an anonymous developer with 414 IoC findings warrants a more cautious verdict regardless of the false-positive nature of those findings. This concern is valid in principle - anonymous publishers do require scrutiny. However, the nature of these findings matters more than their count. The IoC domains are unmistakably property access patterns (g.data, ct.id, we.id), not real domains. Without malware signatures, obfuscation, or actual suspicious network destinations, there is no evidence of malicious behavior. The extension performs legitimate YouTube subtitle functionality that naturally generates network activity and code patterns triggering false-positive rules. A riskier approach would be to flag this as malicious based on false-positive volume, potentially removing a benign tool while missing actual threats that don't trigger such noise.

Resolution: The findings are driven by known false-positive patterns. The extension shows no evidence of intentional harm.

Key Reasons

• IoC findings are property access patterns (g.data, ct.id, we.id) - known XIOC extractor false positives
• Zero malware signatures detected
• Zero obfuscation findings
• Network findings show generic fetch calls without suspicious domain targets
• Extension functionality (YouTube subtitle extraction) is legitimate

False Positive Considerations

• XIOC property access chain misinterpretation (g.data, ct.id, we.id patterns)
• Code-smell rules on generic JavaScript patterns
• Network fetch detection on legitimate functionality

Reviewed 2026-04-29; recommended action: suppress false positive; model confidence 78%.