MALICIOUS
162
Risk Score
Malware Insights
MITRE ATT&CK
T1203 Exploitation for Client Execution
T1059.007 JavaScript
The sample is a PDF file identified as malicious by multiple heuristics and a machine learning classifier. It specifically targets CVE-2010-0188, an exploit related to Adobe Reader's handling of XFA forms and LibTIFF images. The embedded XFA content, though obfuscated, likely contains JavaScript that facilitates the exploitation. The primary goal appears to be the execution of a second-stage payload, as indicated by the exploit type.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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.Agent-36821 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Exploit.Agent-36821
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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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