Malicious PDF — malware analysis report

Static analysis result for SHA-256 10be39f02364abcf…

MALICIOUS

PDF

11.5 KB
MD5: ac61baf28828d7651af0afb0e318e832 SHA-1: 2b70fb621b9de9fc11b8c85c88c485980635a19a SHA-256: 10be39f02364abcfebef153f9ca4e4cd66090de5254c963ddea41ce3394583c1
110 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1059.007 JavaScript

The sample is a PDF file flagged by ClamAV as Heuristics.PDF.ObfuscatedNameObject and a machine learning classifier as malicious. It also contains an XFA form and an embedded file, indicating a potential exploit. The presence of obfuscated JavaScript within the PDF suggests an attempt to download and execute a secondary payload.

Machine Learning

  • Nyx PDF Classifier malicious score 0.7524

Heuristics 5

  • ClamAV: Heuristics.PDF.ObfuscatedNameObject critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Heuristics.PDF.ObfuscatedNameObject
  • Embedded file low PDF_EMBEDDED
    PDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED
    The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PSSyntaxError. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.