MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
This PDF document was flagged as malicious by an ML classifier and contains a large number of embedded links. One of these links, 'https://ttraff.ru/pify?keyword=bible+apk+pro', points to known malicious redirector infrastructure. The document body contains garbled text, but the presence of numerous links suggests a link farm or redirection attack designed to lead users to malicious content. No scripts were extracted from this sample.
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=bible+apk+pro In PDF document text
- http://files.letrim.com/uploads/1/3/1/3/131379301/92bec98f0.pdfIn PDF document text
- http://files.eastafricanscholarsfund.org/uploads/1/3/0/7/130776718/vemofuva.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/1/0438/1566/5826/files/bratz_logo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6749/7880/files/julugonirovipamipilezipez.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5404/7137/files/1265996123.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8272/5029/files/rutowutajefaf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6214/0840/files/begevegibapobigenafibux.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/0454/9531/files/knock_out_drum_sizing_spreadsheet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/3138/6517/files/ic_86_risk_management_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4826/4089/files/bihar_tet_2020_english_question_paper.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_off00005e15.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5E15 | 4888 bytes |
SHA-256: 33d3b5752ee2e0cf90e09c71b4203662b22847c9e85796de4468e8c4c825392d |
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font_01_sfnt_off00006ec1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6EC1 | 15732 bytes |
SHA-256: b6fd8eea22c533ca114912e3f6641387dac38785cc776ab26beea98e1581ff1d |
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