MALICIOUS
116
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 a machine learning classifier and exhibits characteristics of exploiting CVE-2010-0188, a known vulnerability in Adobe Reader related to XFA forms. The embedded script payload suggests an attempt to download and execute a second-stage payload, which is a common technique for delivering malware.
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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Embedded file low PDF_EMBEDDEDPDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
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XFA form low PDF_XFAPDF uses XML Forms Architecture — can contain script logic
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Embedded script payload in PDF stream low 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/
- http://www.xfa.org/schema/xfa-template/2.5/
- http://www.xfa.org/schema/xfa-data/1.0/
Extracted artifacts 1
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
embedded_file_obj0008.bind0692e57167e30952958323d98b4e320270c36e6e29ba5977cbcf86599ba096c |
pdf-embedded-file | PDF EmbeddedFile object 8 at offset 0xC6 | 101505 bytes |
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