PDF malware analysis — malicious · 85d5dad246202ef1

MALICIOUS

PDF

14.9 KB

MD5: 7847d3f3be9990f6676e1ee80f14e804 SHA-1: b07ac55d454d69ce1654d2e81d470eabb567ceca SHA-256: 85d5dad246202ef15e66d62eda4af37458a5a4edf9411f6fb073350695a5f33e

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 an ML 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 leads to the execution of a dropped payload, indicated by the 'Dropped-78' ClamAV detection name.

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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