Malicious PDF — malware analysis report

Static analysis result for SHA-256 083cacaac75494ae…

MALICIOUS

PDF

24.1 KB
MD5: 8466d30d2acd12c03cef2e679aa74300 SHA-1: 43817b742686e0f87c95f17362fc217e3b64ab0c SHA-256: 083cacaac75494ae728844137d8a12d93d7ba823673d9766a239927d4da78b25
162 Risk Score

Malware Insights

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

The sample is a PDF file identified as malicious by multiple heuristics, including a critical finding for CVE-2010-0188, an Adobe Reader LibTIFF XFA image exploit. The ML classifier also strongly flagged it. The embedded XFA form suggests an attempt to execute code via the exploit, likely leading to the download and execution of a second-stage payload. No specific malware family could be confidently identified.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • Adobe Reader LibTIFF XFA image exploit — CVE-2010-0188 critical CVE likely CVE_2010_0188
    PDF contains the CVE-2010-0188 exploit template: XFA JavaScript heap-spray setup, a generated TIFF image payload, and assignment of that TIFF data to an XFA image field rawValue to trigger Adobe Reader's LibTIFF parser.
  • ClamAV: Pdf.Exploit.Agent-36821 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Agent-36821
  • 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/