PDF malware analysis — malicious · 06689cb98b9d1fbf

MALICIOUS

PDF

32.0 KB Authoring application: G198G147G198G147G198G162G165G150G153G207G144G204G159G150G204G162G204G144G147G198G147G198G159G198G159G168G207G201G201G198G159G147G198G198G153G147G156G195G147G207G198G159G195G198G147G207G156G204G201G147 (via 204G159G162G204G195G168G207G153G207G144G198G159G198G159G198G159G198G153G198G159G147G198G198G153G147G201G204G159G150G204G198G159G147G198G198G153G153G156G144G201G165G207G147G195G147G198G147G198G150G159G)

MD5: 5187c47c0546acd647e6fa5e1cbdd525 SHA-1: 182a6bf9027530dfd4eaa6c4547c48dabc8a987d SHA-256: 06689cb98b9d1fbf31b8886fb1c2b130a78b1e4ab7bbd9349f4a983b042c4d96

120 Risk Score

Malware Insights

MITRE ATT&CK

T1059.007 JavaScript T1203 Exploitation for Client Execution T1566.001 Spearphishing Attachment

The PDF contains embedded JavaScript that is heavily obfuscated using string manipulation and arithmetic operations. The script decodes metadata fields (author, keywords, creator, producer, subject) and then uses an obfuscated call to `app.alert` to execute the decoded string, likely a second-stage payload. The ML classifier and exploit cluster heuristics strongly indicate malicious intent.

Machine Learning

Nyx PDF Classifier malicious score 0.9996

Heuristics 7

PDF JavaScript exploit cluster critical PDF_JS_EXPLOIT_CLUSTER

PDF combines an executable JavaScript/action surface with exploit staging indicators such as eval/unescape/fromCharCode, XFA script content, or a related CVE pattern. Benign form JavaScript remains low-severity, but this correlated cluster is high-confidence malicious behavior.
JavaScript action low PDF_JAVASCRIPT

PDF contains a /JavaScript action. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
Embedded JS stream low PDF_JS

PDF references a /JS stream. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
String.fromCharCode low PDF_FROMCHARCODE

String.fromCharCode found — used to construct payload strings dynamically. Common in benign JavaScript libraries for codepoint manipulation, so this alone is informational; weaponised use is also caught by the dedicated fromCharCode-stage and exploit-shape rules. (matched inside decoded stream)
PDF paints image(s) but contains no text operators info PDF_IMAGE_ONLY_LURE

PDF has 1 image XObject(s) and the content stream contains no text-emitting operators (BT/ET, Tj, TJ, ', ") in either raw bytes or decompressed streams — this is the screenshot-as-PDF pattern used to bypass text-based scanners and to deliver instructions purely through rendered pixels. It is informational unless paired with invisible links or risky URI context.
Suspicious extracted artifact info EXTRACTED_FILE_STATIC_TRIAGE

One 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.
Embedded URL info EMBEDDED_URL

One 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.w3.org/1999/02/22-rdf-syntax-ns#
- http://ns.adobe.com/xap/1.0/
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/pdf/1.3/

Extracted artifacts 1

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`javascript_obj0099_000.js` `d221ce3594501a7a0780e56ce89bf1f30793e6af8dfc9eb4828966272ee03618`	pdf-javascript-stream	PDF /JS object 99 at offset 0x7C78	1555 bytes
Detection ClamAV: No threats found Obfuscation or payload: likely Carved artifact contains 1 eval/decoder/string-building token(s).

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