MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.ru/pify?keyword=movie+tv+series+apk'. This URL is presented within the document body, suggesting a lure to download potentially malicious content. The presence of a large number of embedded PDF links, many pointing to Shopify domains, indicates a link farm strategy, likely for SEO manipulation or to obscure the malicious redirector. The ML classifier also strongly flagged this PDF as malicious.
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=movie+tv+series+apk In PDF document text
- http://files.jp2waterloo.ca/uploads/1/3/1/6/131637723/zofolepuvideb_ralitatigezi_vibedadene.pdfIn PDF document text
- http://files.cobilconnect.com/uploads/1/3/0/9/130969853/6ea8d66a.pdfIn PDF document text
- http://jidem.high5communicationresources.com/uploads/1/3/1/0/131070786/6377773.pdfIn PDF document text
- http://nidibuti.shotokankarate.net/uploads/1/3/0/8/130874429/nemekepe.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0433/1444/6489/files/strategic_advertising_campaigns.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8030/2240/files/def_model_answer_2018.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/0629/4176/files/fizas.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5832/3865/files/wunubobenufusizugatefaju.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8150/5695/files/credit_risk_management_book.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4329/8207/files/sesugilow.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7369/0017/files/sign_up_sheets_google_docs.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4452/8550/files/corsair_275r_build_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1969/7310/files/zubimiluboruwumipuzufube.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1464/4127/files/fake_army_acceptance_letter.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 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007dec.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7DEC | 4592 bytes |
SHA-256: 2fe5dafed5be68153d49d60e447df59bdf9989dbc4b20dbd48418f1f7f5d7016 |
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font_01_sfnt_off00008d9f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8D9F | 2092 bytes |
SHA-256: 9fcfd2b2c12c9d480c0beec3ee39f05b9e518edc5177a7a5fcc68dff0371f8a2 |
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font_02_sfnt_off00009740.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9740 | 10196 bytes |
SHA-256: 596238bbd1b29527f93b311a45c9df20353dafccee98b5d6e2757ec36d64aeee |
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font_03_sfnt_off0000ba28.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBA28 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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