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BREACH BRIEF🟠 High ThreatIntel

HTML ‘Comment Stuffing’ Enables Phishing Attachments to Evade AI Detection

Attackers are embedding large blocks of HTML comments in phishing attachments to confuse AI‑based email filters. The tactic threatens the effectiveness of SOC 2‑aligned security controls and highlights the need for up‑to‑date awareness training.

LiveThreat™ Intelligence · 📅 July 10, 2026· 📰 isc.sans.edu
🟠
Severity
High
TI
Type
ThreatIntel
🎯
Confidence
High
🏢
Affected
3 sector(s)
Actions
3 recommended
📰
Source
isc.sans.edu

“Comment Stuffing” in HTML Phishing Attachments Used to Bypass AI Detection

What Happened – Researchers observed a new evasion technique where attackers embed large blocks of HTML comments (“comment stuffing”) inside phishing attachments. The extra comment data confuses AI‑based email‑security models, allowing the malicious payload to slip past basic filters.

Why It Matters for Compliance & Audit Readiness

  • The technique targets the very controls SOC 2 CC6.1 (Security) expects: robust email‑filtering and documented phishing‑resilience testing.
  • Continuous‑compliance programs must prove that awareness training and detection controls are regularly validated against emerging tactics.
  • Verisq’s Security Awareness Training capability supplies audit‑ready evidence that staff and detection rules are kept current.

Who Is Affected – All sectors that rely on email for business communications, especially technology‑SaaS firms, financial services, and professional services.

Recommended Actions

  • Map the phishing‑evasion scenario to SOC 2 CC6.1 and CC6.2 controls; capture training records and filter‑rule updates as evidence.
  • Augment security‑awareness curricula with a module on “HTML comment stuffing” and run simulated phishing campaigns that include the technique.
  • Test your AI‑based email filters using crafted samples that contain comment stuffing; document results for audit review.

Technical Notes – The evasion does not exploit a CVE; it leverages HTML comment syntax to inflate payload size and dilute malicious signatures, reducing the confidence score of AI classifiers. No new malware families were disclosed.

Source: SANS Internet Storm Center – “Comment stuffing” in an HTML phishing attachment as a mechanism for evading AI‑based detection?

📰 Original Source
https://isc.sans.edu/diary/rss/33144

This LiveThreat Intelligence Brief is an independent analysis. Read the original reporting at the link above.

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