Malicious PDF — malware analysis report

Static analysis result for SHA-256 5d768682234cd265…

MALICIOUS

PDF

20.2 KB
MD5: f4aa8b4268ca7e3b985166b350c03338 SHA-1: 9059a675a1cf9e484c8b4cb96230891959bcd621 SHA-256: 5d768682234cd265c779d12a152c577cf48690d4a205fea1e8c8ac5249c59fcb
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 in Adobe Reader's handling of XFA forms and LibTIFF, indicating an attempt to execute arbitrary code upon opening. The presence of an embedded URL, though benign in this case, is typical of exploit delivery mechanisms.

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-36826 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Agent-36826
  • 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/