Malicious PDF — malware analysis report

Static analysis result for SHA-256 026c6b9c4346045c…

MALICIOUS

PDF

13.9 KB
MD5: 03645363e7fee30a175466547132fd5c SHA-1: 324f310a1215937e7ab31416fd0f7c8ee9a14bf1 SHA-256: 026c6b9c4346045c7ac811224869dd3a2f85f9a17efe7ee695e825908a86469d
162 Risk Score

Malware Insights

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

The file is a PDF containing an XFA form that exploits CVE-2010-0188 in Adobe Reader. This exploit is designed to execute arbitrary code, likely leading to a second-stage payload download or execution. The presence of an embedded URL, though benign in this case, is typical for such exploits. The ML classifier and ClamAV detection strongly indicate 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: Js.Exploit.HTML-30 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Js.Exploit.HTML-30
  • 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/