Malicious PDF — malware analysis report

Static analysis result for SHA-256 605497b949964184…

MALICIOUS

PDF

14.4 KB
MD5: 08dbc17c0d7d754374cfacb7c65fb012 SHA-1: 07ba27d6af5a77749d2c0feb3d5ef47e17394f36 SHA-256: 605497b949964184ec5e207af5ed6805d28a5dafd99e902918ac0c81f97a7b83
200 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 ClamAV and a machine learning classifier. It contains an XFA form and exploits CVE-2010-0188, a known vulnerability in Adobe Reader related to LibTIFF processing within XFA forms. This exploit likely serves as a stager to download and execute a secondary payload from the embedded URL.

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.Dropped-78 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Dropped-78
  • XFA numeric character-table eval stager high PDF_XFA_NUMERIC_EVAL_STAGER
    PDF XFA initialize script reads numeric form data from rawValue, maps the values through a short character table, and evals the reconstructed stage. This is an exploit-kit staging technique even when the final decoded layer remains encoded.
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • 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/

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