MALICIOUS
202
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 multiple heuristics and a machine learning classifier. It contains an XFA form that exploits CVE-2010-0188 in Adobe Reader, a known vulnerability for client-side execution. The embedded URL is likely used to fetch a secondary payload.
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: Pdf.Exploit.Dropped-78 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Exploit.Dropped-78
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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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