MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links, many pointing to redirector infrastructure, including a primary link to 'ttraff.ru' disguised as a movie download. The ML classifier strongly indicated maliciousness, and the heuristic firings confirm the presence of malicious redirector links and a link farm designed for SEO manipulation. While no scripts were extracted, the embedded URLs and the document's structure suggest a phishing or malware distribution 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=evil+dead+tamil+full+movie+hd In PDF document text
- http://files.mentalhealthjunkie.com/uploads/1/3/1/4/131407183/670c2.pdfIn PDF document text
- http://files.dengkechen.com/uploads/1/3/0/7/130775645/lejipezukofuwede.pdfIn PDF document text
- http://wemajex.boudoirbypamelam.com.au/uploads/1/3/2/8/132814664/gixovalobuvijax.pdfIn PDF document text
- http://files.devinmgill.com/uploads/1/3/1/1/131164476/rarulopiwed_wogenabotefu_dewejenif.pdfIn PDF document text
- http://gafebabu.mojovolleyball.com/uploads/1/3/0/7/130739430/tageduwaxib-mapili.pdfIn PDF document text
- http://fedorahosted.org/lohitIn 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/1/0438/0796/5345/files/ragnarok_guild_emblem.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9078/9020/files/lijubanulexad.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7604/3423/files/gowetufiman.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6031/3763/files/22832998604.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6738/3713/files/49314270096.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2289/9608/files/past_tense_examples_sentences.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/4396/0485/files/interoffice_memo_word_template.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5900/4070/files/32923267679.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2635/7152/files/33687264488.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0820/4704/files/24954259422.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3532/0742/files/sherlock_holmes_rus.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0705/7825/files/laxujididisisovivam.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0860/4829/files/85630674766.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 5
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_005_off00007779.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x7779 | 14396 bytes |
SHA-256: 3c325715fadd28f366521d29b4ae0d696c77ccdf614d52361843e3fca1cb2e96 |
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font_00_sfnt_off000066f3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x66F3 | 4888 bytes |
SHA-256: b7b87aea35f7d9978aee44beffe8e5f61e9b2a47b0e1f57ac79c67dc9547958b |
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font_02_sfnt_off00009a6d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9A6D | 3064 bytes |
SHA-256: 97882b199244dc90006c5f51aa8a34412b802414cdce22183d399f7d27da463e |
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font_03_sfnt_off0000a747.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA747 | 11428 bytes |
SHA-256: 0c904e32b7b00eca534c006168ed122be5fe7d31cf74a6b873e9b114377eaba4 |
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font_04_sfnt_off0000cd6f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xCD6F | 3112 bytes |
SHA-256: b488a3026bd3f6d3a1854f6a755e5d617dbba8c0fe5e8c931c8e8987c93c53a6 |
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