MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file contains numerous embedded links, a technique often used to redirect users to malicious sites. One critical heuristic identified a link to known malicious redirector infrastructure at 'ttraff.ru', which is used in conjunction with a keyword suggesting a language translation document. Another critical heuristic flagged the PDF as a link farm, with many links pointing to Shopify-hosted PDFs, likely to obscure the malicious intent. The document body itself contains garbled text but includes the malicious URL, reinforcing the redirection attempt.
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=bengali+to+english+translation+pdf In PDF document text
- http://safuvoret.graphitesquarestudio.com/uploads/1/3/1/4/131453870/tosegafireji.pdfIn PDF document text
- http://files.portlandtnrotary.org/uploads/1/3/0/7/130775892/d15662557.pdfIn PDF document text
- http://jasajilek.yogadansebienetre.com/uploads/1/3/1/3/131383791/06dff6eab6f2.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/1/0428/9137/8854/files/9379748441.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3420/6631/files/32952362574.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5554/5497/files/rasogudafikimerozapixu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8333/3799/files/i_give_my_first_love_to_you.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/2917/2122/files/oxford_discover_grammar_2_free_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7870/3521/files/85169434914.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3144/3094/files/54502145518.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4272/5275/files/73402365991.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0441/0087/8488/files/99815553364.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7836/0987/files/sukide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5200/6552/files/tuvar.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
- http://www.geocities.com/mitra_anirban/hobbies.htmGNUIn PDF document text
- http://www.gnu.org/copyleft/gpl.htmRegularIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005382.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5382 | 5352 bytes |
SHA-256: 91c92042e1eab32166c58f5937a5db0303e870459fcb38a382d903a5b8c166cc |
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font_01_sfnt_off000065a6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x65A6 | 5288 bytes |
SHA-256: 3467387c63b4a0a12a2069ece4cd5358ce680bf44a2fdcca44fd977f8cf89dd2 |
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font_02_sfnt_off000076ea.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x76EA | 10236 bytes |
SHA-256: 29c8b4d88613dfe12f2d85f7724d2c1dc33c3ca857830164a3929b78817cd743 |
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