Malicious PDF — malware analysis report

Static analysis result for SHA-256 5b9a75f3d98cd268…

MALICIOUS

PDF

24.1 KB
MD5: 246ea6bd95957b7c65bad4818fa2c2f2 SHA-1: 43a6e3f3291fa6b0661bbf1feb456dc84535bec8 SHA-256: 5b9a75f3d98cd26818c55580d65b75f192ee50045c850a1d98b60dbdf4178e42
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1566.001 Spearphishing Attachment

The sample is a PDF file identified as malicious by multiple heuristics and a machine learning classifier. It specifically exploits the CVE-2010-0188 vulnerability related to Adobe Reader's handling of XFA forms and TIFF images. The embedded XFA template likely contains the exploit code, aiming to achieve arbitrary code execution on the victim's system.

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/