News report
Microsoft Flags AI-Driven Phishing: LLM
Threat actors are employing Large Language Models (LLMs) to create sophisticated phishing campaigns, leveraging LLM-generated code to obfuscate malicious payloads within Scalable Vector Graphics (SVG) files. These meticulously crafted SVG files bypass email security by disguising embedded JavaScript with business terminology, ultimately redirecting victims to fake login pages for credential harvesting.
What Happened
Threat actors are employing Large Language Models (LLMs) to create sophisticated phishing campaigns, leveraging LLM-generated code to obfuscate malicious payloads within Scalable Vector Graphics (SVG) files. These meticulously crafted SVG files bypass email security by disguising embedded JavaScript with business terminology, ultimately redirecting victims to fake login pages for credential harvesting.
Why This Matters
This is source reporting of a security event, not a confirmed product vulnerability or patchable CVE. Use it as situational awareness if named organizations, cloud tenants, or identity systems overlap with yours.
Recommended Action
Read the source report. Confirm whether any named organizations, identity tenants, or cloud environments you operate are implicated. Do not treat this as a vendor advisory unless a CVE or official bulletin is attached.
Exposure
Exposure unknown
Sep 29, 2025 05:30
Exposure reason: This incident does not currently match a technology in My AI Stack.
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Sep 29, 2025 05:30BugSkan first recorded this incident.
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Microsoft Flags AI-Driven Phishing: LLM-Crafted SVG Files Outsmart Email Security - The Hacker News
Sep 29, 2025 05:30thehackernews.com · News
Sources
thehackernews.com · Sep 29, 2025 05:30
Threat actors are employing Large Language Models (LLMs) to create sophisticated phishing campaigns, leveraging LLM-generated code to obfuscate malicious payloads within Scalable Vector Graphics (SVG) files. These meticulously crafted SVG files bypass email security by disguising embedded JavaScript with business terminology, ultimately redirecting victims to fake login pages for credential harvesting.
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