MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains multiple embedded links, with one identified as a malicious redirector. The primary heuristic indicates a PDF link to known malicious redirector infrastructure, specifically pointing to 'ttraff.ru'. This suggests the document is designed to lure users to a malicious site, likely for further exploitation or phishing. No scripts were extracted, but the presence of numerous links, including the malicious redirector, strongly indicates a social engineering 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=non+aqueous+titration+pdf In PDF document text
- http://files.robertomiatelloarchitetto.com/uploads/1/3/1/3/131379219/e098da.pdfIn PDF document text
- http://files.paulsfranchiseleague.com/uploads/1/3/1/4/131438249/kabuvoxije_kuvorenuzixuw_raxejusub.pdfIn PDF document text
- http://files.neuropsychologyforyou.com/uploads/1/3/0/8/130813650/01c7644d.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/1/0430/0426/4602/files/91671274774.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8706/9348/files/29461506595.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8323/5489/files/vupuwebalor.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/7237/0326/files/dudedobezogoj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/49726552648.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/0635/9714/files/zazuwipekavatorejuki.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7997/5591/files/26465901095.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0705/7825/files/54489159709.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/95610310087.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8976/5279/files/tedop.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/3990/6197/files/2017_pontiac_grand_prix.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3771/2803/files/66433300149.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2050/9596/files/10341022820.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://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000696a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x696A | 5096 bytes |
SHA-256: 6e843e9fc5161bae10fd0f8e3c68fd45c120ee3b44944b2383626b94e63d1b6b |
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font_01_sfnt_off00007acf.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7ACF | 9912 bytes |
SHA-256: 1b58dcf56edafdc78f82728bc94b4245cf3b0234e5a401600113dee9a6ba2583 |
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font_02_sfnt_off00009cb5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9CB5 | 16100 bytes |
SHA-256: dfdc6983d3c42b81f9741fa6cdceaab3e97c1fbda00e6274acf933e6ff911e94 |
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