Malicious PDF — malware analysis report

Static analysis result for SHA-256 5f544fc7ac2957d5…

MALICIOUS

PDF

24.2 KB
MD5: 7fc00cb081059bd547368daf69154b0e SHA-1: 1a621997c11a41e32db9b6691defeb665697610f SHA-256: 5f544fc7ac2957d50f7606f55bc014b02e0c963c1d1477bca6e360270b1a3ab9
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 within Adobe Reader's LibTIFF component, indicating an attempt to achieve code execution. The presence of an embedded URL, though benign in appearance, is often used in conjunction with such exploits to download further malicious content.

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/