MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1203 Exploitation for Client Execution
T1566.001 Spearphishing Attachment
The sample is a PDF file that leverages an XFA form to exploit CVE-2010-0188 in Adobe Reader, a known vulnerability for client-side execution. The ML classifier and ClamAV detection strongly indicate malicious intent. The embedded URL, while seemingly benign, is part of the XFA structure and likely related to the exploit mechanism.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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Adobe Reader LibTIFF XFA image exploit — CVE-2010-0188 critical CVE likely CVE_2010_0188PDF 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.
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ClamAV: Js.Exploit.HTML-30 critical CLAMAV_DETECTIONClamAV detected this file as malware: Js.Exploit.HTML-30
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XFA numeric character-table eval stager high PDF_XFA_NUMERIC_EVAL_STAGERPDF 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.
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XFA form low PDF_XFAPDF uses XML Forms Architecture — can contain script logic
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PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILEDThe 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.
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Embedded URL info EMBEDDED_URLOne 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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