Malicious PDF — malware analysis report

Static analysis result for SHA-256 2a1782e234016521…

MALICIOUS

PDF

32.2 KB
MD5: 09d2652b2650abee51270236488f61ae SHA-1: 495d90e5a7bbc31d671afc299423bea43993533b SHA-256: 2a1782e234016521dc86ff6b10b048122d6213e28baebe88141bfe60f78638eb
100 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell

The sample is a PDF file identified as malicious by ML classifiers and ClamAV (Js.Exploit.HTML-30). It utilizes XFA forms, a known vector for exploiting vulnerabilities. The embedded URL, while seemingly benign, is part of the exploit chain. The presence of JavaScript exploitation indicators suggests the PDF is designed to download and execute a second-stage payload.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • ClamAV: Js.Exploit.HTML-30 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Js.Exploit.HTML-30
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED
    The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PSEOF. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL http://www.xfa.org/schema/xfa-template/2.5/

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