Malicious PDF — malware analysis report

Static analysis result for SHA-256 102622808d9363df…

MALICIOUS

PDF

24.1 KB
MD5: 3f2b1d5d516b03674686492f7790780c SHA-1: cd12e42538bb3612e7bc3f3ce730659e5e9c278c SHA-256: 102622808d9363df5d09391b206c947de74fd45d174b002800770164c66822a4
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 targets CVE-2010-0188, an exploit related to XFA forms in Adobe Reader, indicating an attempt to execute arbitrary code. The embedded URL, while seemingly benign, is part of the XFA structure and could potentially be used in conjunction with the exploit.

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/