Malicious PDF — malware analysis report

Static analysis result for SHA-256 6b0fb3b7cd0545a1…

MALICIOUS

PDF

31.4 KB
MD5: a7cf3ada92914f7130b34a25ff1dae5b SHA-1: 41bccae587004040732995835134ee0a93c72ce5 SHA-256: 6b0fb3b7cd0545a18bf5f20cb214550f12c80e979116a9803a35e36e562ad16c
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 a critical finding for CVE-2010-0188, an Adobe Reader LibTIFF XFA image exploit. ClamAV also detected it as Js.Exploit.HTML-30, indicating embedded JavaScript is likely involved in the exploit. The XFA form structure and the embedded URL suggest an attempt to leverage web resources for payload delivery or execution.

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/