MALICIOUS
254
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple heuristics indicating malicious redirection and a link farm, including a critical finding for a PDF redirector link. The primary malicious URL identified is 'https://traffmen.ru/aws?utm_term=alumni+portal+project', which is used in conjunction with a link to 'https://s3.amazonaws.com/pibabopuduj/vw_app_connect_android_2016.pdf' as part of a larger link farm. The ML classifier also strongly flagged this PDF as malicious.
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
Heuristics 6
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ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
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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://traffmen.ru/aws?utm_term=alumni+portal+project In PDF document text
- https://xelegiri.weebly.com/uploads/1/3/4/4/134435730/2002027.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4387411/normal_5fa143522f525.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366359/normal_5f9fbb299179e.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4419623/normal_5fe1436e547e4.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/pibabopuduj/vw_app_connect_android_2016.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c9237c63-1a21-4139-97d8-61bdf673b5c2/danganronpa_1_characters_in_order.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c324f30c-a31b-428a-bc76-129188d1e9ce/odyssey_of_the_mind_pin.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/77c595b1-f480-4631-afad-47a5dbdd8a03/the_smiler_with_the_knife_under_the.pdfIn PDF document text
- https://s3.amazonaws.com/zikeko/61895230842.pdfIn PDF document text
- https://s3.amazonaws.com/wuwabobujasivor/android_games_to_improve_analytical_skills.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a6f1a97a-0cd3-4f9a-bd61-748c901d0646/buxutokulu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/46e0bd3a-21cb-4226-af1b-5e2718caaacf/american_history_judith_ortiz_cofer_audio.pdfIn PDF document text
- https://s3.amazonaws.com/tadovu/5262243461.pdfIn PDF document text
- https://s3.amazonaws.com/kotodur/complete_or_incomplete_sentences_worksheet.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000cf7b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xCF7B | 4964 bytes |
SHA-256: d71236d0024287c9e5fa81ddc0ec7fb668e7292f534891db418b1991eac89471 |
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font_01_sfnt_off0000e045.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE045 | 2140 bytes |
SHA-256: a1c68180eae955d710b1f59d89b7b5bb1f22246194deffa7b9c3298859733f9b |
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font_02_sfnt_off0000ea1d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEA1D | 11416 bytes |
SHA-256: 0c12074f4bf95540183d41ce5737db8a2c7edeccd34855e0d405055f0c4d4b63 |
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