Malicious PDF — malware analysis report

Static analysis result for SHA-256 053fd3f19d6905b2…

MALICIOUS

PDF

24.1 KB
MD5: 373295afa073c3e5521ef455d2e22e34 SHA-1: de5028ec2ee10213dee919b0a87766db47a64c6f SHA-256: 053fd3f19d6905b2eff360d2f5b49cfc956eb891ae9da272920cbd010ce237bc
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 an ML classifier. It specifically targets the CVE-2010-0188 vulnerability, which is known to affect Adobe Reader's handling of XFA forms and TIFF images. This exploit is commonly used for initial access via spearphishing attachments. No scripts were extracted, but the exploit itself is sufficient evidence of malicious intent.

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/