MALICIOUS
132
Risk Score
Machine Learning
- Nyx PDF Classifier suspicious score 0.4507
Heuristics 6
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XFA JavaScript heap-spray exploit code critical PDF_XFA_HEAP_SPRAYPDF contains XFA script content with heap-spray or shellcode-like JavaScript markers such as large encoded word sequences, util.pack, large arrays, or spray variable names. This is a weaponised Adobe Reader exploit pattern, not a normal interactive form.
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eval() call high PDF_EVALeval() found — commonly used for obfuscated exploit execution (matched inside decoded stream)Matched line in script
var yo = eval(ezJ.rk[0] + ezJ.rk[1]); -
Suspicious extracted artifact medium EXTRACTED_FILE_STATIC_TRIAGEOne or more files extracted from inside this sample matched static suspicious-content checks such as script obfuscation, encoded payload blobs, packed data, or execution/download terms.
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XFA form low PDF_XFAPDF uses XML Forms Architecture — can contain script logic (matched inside decoded stream)
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Embedded script payload in PDF stream info PDF_EMBEDDED_SCRIPT_PAYLOADPDF stream bytes contain an HTML/XFA <script> tag without accompanying Windows shell-execution primitives — common in accessible XFA forms but worth surfacing for analyst review.
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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://ns.adobe.com/xdp/ In PDF document text
- http://www.xfa.org/schema/xfa-template/3.1/In PDF document text
- http://www.xfa.org/schema/xfa-template/3.0/In PDF document text
Extracted artifacts 1
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_000_off00000043.js |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x43 | 4194304 bytes |
SHA-256: 154ebf93ac3df6a86b403afb1525863eb49ea1881abd96ef348da3a8568e2597 |
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Detection
ClamAV:
No threats found
Obfuscation or payload:
likely
Carved artifact contains 1 eval/decoder/string-building token(s). 248 of 307 identifiers look randomly generated (e.g. 'MzIyM0E3QjIyNjE2MzcyNkY3MjY0MzMzMjIyM0Ez') — consistent with name-mangling obfuscation. Carved artifact contains 7 long base64-like blob(s).
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