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analyzing-slack-space-and-file-system-artifacts

Examine NTFS slack space, MFT entries, the USN Change Journal, and Alternate Data Streams (ADS) to recover hidden or residual data, reconstruct deleted-file metadata, and reconstruct available file-system change activity from USN records. Use during deep forensic analysis of an NTFS image when standard file recovery is insufficient, such as hunting for data hidden in ADS.

72

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Security

1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.

Critical

E005: Suspicious download URL detected in skill instructions.

What this means

Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.

Why it was flagged

These are high-risk because they are direct .exe download links hosted on non-official/suspicious domains (malicious-site.com and its CDN), a common malware distribution pattern referenced in the skill's Zone.Identifier entries.

Report incorrect finding

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The workflow ingests outsider-authored free text at runtime by extracting and parsing an attacker-provided forensic disk image file’s contents (e.g., slack strings/keywords and USN journal decoded filenames), which are arbitrary bytes/strings originating from that outsider-authored data.

Repository
mukul975/Anthropic-Cybersecurity-Skills
Audited
Security analysis
Snyk

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