MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains a high-severity heuristic indicating it combines an external action with parser-evasion techniques, specifically using a URL shortener. The ML classifier also flagged the PDF as malicious. The embedded URL, 'https://benevioso.page.link/jQZy', is the primary indicator of malicious intent, likely leading to a phishing page or malware download.
Machine Learning
- Nyx PDF Classifier malicious score 0.7570
Heuristics 4
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Clickable PDF combines external action with parser-evasion structure high PDF_ACTION_PARSER_EVASIONPDF has an external clickable URI together with object graph or xref structures that make parsers disagree, such as divergent duplicate objects, parser divergence, or xref offset mismatch. That combination is stronger than a plain link: the document is both an outward-action carrier and a parser-confusion/evasion sample.
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Clickable URI uses URL shortener medium PDF_URL_SHORTENER_URIPDF contains a clickable HTTP(S) action whose destination is a URL shortener. This hides the final landing page from static review and is common in phishing redirect PDFs.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
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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 https://benevioso.page.link/jQZy In PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
Extracted artifacts 1
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_001_off00000849.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x849 | 48680 bytes |
SHA-256: 8c34682fc5e6e6a391c18cd7cc3bd98dd204348ead104ff3ab6ceab4df5a3cf6 |
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