MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links, including one pointing to a known malicious redirector at 'https://ttraff.ru/pify?keyword=berlin+subway+map+pdf'. This redirector is likely used to obscure the final malicious destination, aiming to trick users into downloading further malware or visiting a phishing page. The ML classifier strongly flagged this PDF as malicious, supporting the assessment of a phishing or redirection attack.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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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://ttraff.ru/pify?keyword=berlin+subway+map+pdf In PDF document text
- http://files.britishbelgianbantamclub.org/uploads/1/3/0/8/130813413/7181706.pdfIn PDF document text
- http://files.reddeerhospice.com/uploads/1/3/2/7/132712323/nareboxovoxe_gasikele_wiraxiva_javab.pdfIn PDF document text
- http://files.pegasusmodelclub.com/uploads/1/3/0/7/130775014/5563903.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2362/8450/files/lufujejoxinu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0401/8336/files/84673727857.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7153/6294/files/56697952747.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7075/7791/files/82472618012.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3786/5637/files/36770252298.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6196/0091/files/13648871851.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6726/0582/files/20706274468.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0758/2106/files/jijokasosalifuzexe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1855/9389/files/bisaxariba.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6790/0058/files/fafunoluwejagikofopukoz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8904/3358/files/xakolibiwejabadolurarimur.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5331/7272/files/afmc_previous_year_question_paper_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/6195/0117/files/jexepeja.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1488/0405/files/27849814397.pdfIn 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://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006a26.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A26 | 5568 bytes |
SHA-256: ed5cea37aff9443a522d24e7ff20a9cb6fd0701bd90f3e487f503455686c7581 |
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font_01_sfnt_off00007d17.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D17 | 10024 bytes |
SHA-256: 6b1a25e00283394a8a3f88ab48a9b86faaef08008cf75e835b561f338df13516 |
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