Malicious PDF — malware analysis report

Static analysis result for SHA-256 aecb00ba56bc213e…

MALICIOUS

PDF

136.8 KB Created: 2011-09-08 05:03:17 Authoring application: FPDF 1.6
MD5: cb9ab5c07c0c2a308ac47b6cb935dc6a SHA-1: 267604fbc7387491e7747bbedf64377fff373ae8 SHA-256: aecb00ba56bc213e0852b19771eaa65902f13df00c309f23b60c318f5a50bf25
108 Risk Score

Malware Insights

MITRE ATT&CK
T1204.002 Malicious File T1566.002 Spearphishing Attachment

The file is identified as a malicious PDF by ClamAV (Pdf.Exploit.Agent-36874) and a machine learning classifier. The presence of XFA forms and AcroForm buttons with action triggers suggests an attempt to exploit PDF vulnerabilities. The ML classifier output of 0.999296 strongly indicates malicious intent. While no specific script was extracted, the combination of heuristics points towards a typical exploit delivery mechanism for PDF-based malware.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9993

Heuristics 4

  • ClamAV: Pdf.Exploit.Agent-36874 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Agent-36874
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • AcroForm button with action trigger low PDF_ACROFORM_BUTTON
    PDF contains a /Btn form field together with a SubmitForm/URI/Launch/JS trigger — this is the building block of fake 'Download' or 'Open' button overlays used in PDF phishing lures
  • Suspicious extracted artifact info EXTRACTED_FILE_STATIC_TRIAGE
    One or more files extracted from inside this sample matched static suspicious-content checks such as script obfuscation, encoded payload blobs, packed data, or execution/download terms.

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_001_off000008ed.bin
b1716e92c84f021920d1795e0e0681853ab2be5e03b31427c7abc367a3b065bc
decompressed-pdf-stream PDF FlateDecoded stream at offset 0x8ED 1436 bytes
Detection
ClamAV: No threats found
Obfuscation or payload: likely
Carved artifact contains 1 long base64-like blob(s).