Malicious PDF — malware analysis report

Static analysis result for SHA-256 803453f54244ac9a…

MALICIOUS

PDF

24.1 KB
MD5: 2953f60764022fb0ae720a917dce66cd SHA-1: 309a9b155be1eb70416f8b88aeb52f777d2b34ca SHA-256: 803453f54244ac9a19730c7ede0f1efbb48c4b2ab28439edb3bacc4aaf37d96a
162 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1059.007 JavaScript

The sample is a PDF file identified as malicious by multiple heuristics, including ClamAV and an ML classifier. It specifically targets the CVE-2010-0188 vulnerability related to XFA forms in Adobe Reader, indicating an attempt to execute arbitrary code. The embedded JavaScript, though obfuscated, likely contributes to the exploitation process by interacting with the XFA form.

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/