Malware Insights
The PDF file was flagged as malicious by both a machine learning classifier and ClamAV, specifically identified as Js.Exploit.HTML-30. The presence of an XFA form and embedded JavaScript suggests an attempt to exploit vulnerabilities or execute malicious code. The embedded URL, while seemingly benign, is part of the XFA structure and could be used in conjunction with the script to download or execute further stages. The JavaScript code itself appears obfuscated and is difficult to fully deconstruct, but its presence within a malicious PDF is a strong indicator of malicious intent, likely to download and execute a second-stage payload.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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 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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