PDF malware analysis — malicious · f30b4c674c798807

MALICIOUS

PDF

31.4 KB

MD5: 47e4283ef312d1fce49bd768e650449a SHA-1: 1346dff2577b37e263a24c84690bc5c87ab1fc4b SHA-256: f30b4c674c798807d07265acaa813f1ac0a7533fcc46e2b9fd65c6028240d472

270 Risk Score

Malware Insights

MITRE ATT&CK

T1204 Malicious Link T1059.001 PowerShell T1059.003 Windows Command Shell T1059.007 JavaScript

This PDF file exploits CVE-2010-0188 via XFA forms to deliver a malicious JavaScript stager. The stager, identified as 'xfa_numeric_stage_000.js', is heavily obfuscated but detected by ClamAV as Js.Exploit.HTML-30. The primary goal appears to be the execution of arbitrary code through the embedded JavaScript.

Heuristics 8

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
ClamAV detection on extracted artifact critical EXTRACTED_FILE_CLAMAV

ClamAV flagged at least one file extracted from inside this sample. Even when the wrapping document carries no AV detection of its own, a hit on the carved artifact is a strong indicator the sample is a delivery vehicle.
XFA numeric JavaScript stager high PDF_XFA_NUMERIC_JS_STAGER

PDF XFA script reconstructs a hidden JavaScript stage from numeric field data or a character table, then evals the result. The decoder is gated on XFA script, numeric staging, and recovered exploit-like JavaScript or shellcode markers.
Suspicious extracted artifact high 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.
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/

Extracted artifacts 1

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`xfa_numeric_stage_000.js` `7a8f598d37dcd552914ce4c59633ab3ad11934b051e67f65a1f29d679a65334a`	deobfuscated-js	XFA rawValue numeric decoded JavaScript (raw) at offset 0x3F0	3735 bytes
Detection ClamAV: Pdf.Exploit.Agent-36962 Obfuscation or payload: likely Carved artifact contains 5 eval/decoder/string-building token(s). Carved artifact contains 3 long base64-like blob(s).

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