Malicious PDF — malware analysis report

Static analysis result for SHA-256 453f0b87390008b3…

MALICIOUS

PDF

2.6 KB
MD5: 44f7e0df05c59aea9cf6b6c7aaa9bbce SHA-1: ec59d66c4bddf679bd24833d7b0def7fc30dd8c0 SHA-256: 453f0b87390008b3dbdb282d468e1dd29bcc5ec56257647eb52de161fc3fe72f
138 Risk Score

Malware Insights

MITRE ATT&CK
T1204 Malicious File T1204.002 Malicious File: User Execution T1559 Component Object Model Hijacking T1559.001 Component Object Model Hijacking: Component Object Model Hijacking

The sample is a PDF document that exploits CVE-2010-0188, a vulnerability in Adobe Reader related to LibTIFF XFA images. Static analysis detected an embedded malicious file, indicating the document is designed to drop and execute a secondary payload. The ClamAV detection further confirms its malicious nature.

Heuristics 5

  • Adobe Reader LibTIFF XFA image exploit — CVE-2010-0188 critical CVE likely CVE_2010_0188
    PDF contains XFA image data with an inline crafted TIFF payload and shellcode/delivery markers. This is the data-bound variant of the CVE-2010-0188 Adobe Reader LibTIFF/XFA exploit shape.
  • ClamAV: Pdf.Exploit.Dropped-90 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Dropped-90
  • Embedded file low PDF_EMBEDDED
    PDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • 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
embedded_file_obj0001.bin
30867b309a1cc912b16a695282993d7ffd365a630e837c5c167bc4972a1a4a1a
pdf-embedded-file PDF EmbeddedFile object 1 at offset 0x5D 13415 bytes
Detection
ClamAV: No threats found
Obfuscation or payload: likely
Carved artifact contains 1 long base64-like blob(s).