Malicious PDF — malware analysis report

Static analysis result for SHA-256 0d4eee5004149326…

MALICIOUS

PDF

23.9 KB
MD5: 05a444e1b5c72fc00e11197a14b5a4f9 SHA-1: 7882f95b0e6ca389e609da8dd303d61e26e6b5e2 SHA-256: 0d4eee50041493267340cbbb0080365db23628023e7a0af4dbe7fe109569f260
162 Risk Score

Malware Insights

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

The sample is identified as malicious by multiple heuristics, including a critical finding for CVE-2010-0188, which is an Adobe Reader exploit targeting XFA forms. The ML classifier also strongly indicates maliciousness. The embedded URL, while seemingly benign, is present within the document structure, suggesting it might be part of the exploit chain or a lure.

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/