MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF was flagged as malicious by a machine learning classifier and contains a critical heuristic indicating it links to known malicious redirector infrastructure. It also exhibits characteristics of a PDF SEO link farm, embedding numerous external links. The primary malicious URL identified is https://ttraff.com/pify?keyword=fafsa+en+espa%25C3%25B1ol+pdf, which is likely used to redirect users to further malicious content.
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.com/pify?keyword=fafsa+en+espa%25C3%25B1ol+pdf In PDF document text
- http://files.medgaming.com/uploads/1/3/2/3/132303151/pekanaxobitiloz.pdfIn PDF document text
- http://files.brookesummers.blog/uploads/1/3/0/9/130968996/zolanax.pdfIn PDF document text
- http://files.ethanhamby.com/uploads/1/3/1/0/131070604/e400607bf54e4f.pdfIn PDF document text
- http://nuniv.charlestonteacheralliance.com/uploads/1/3/1/3/131381464/waxap-kunexofupubuke-kuliterejajuvem.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/1/0436/5592/1822/files/zunowibupigakuwej.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3271/5163/files/cadences_piano.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6249/2324/files/utero_bicorne_unicervical.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9102/4280/files/32581568349.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9755/5108/files/cengage_physics_for_neet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4463/3756/files/53568845559.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9805/4558/files/majobe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/5070/2750/files/cahiers_pour_l_analyse.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9477/8791/files/xuvitalaniburikaxa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/6190/7351/files/breaking_into_wall_street_private_equity.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1298/8821/files/kuvewavetazikuziri.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0846/5828/files/60776719047.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006653.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6653 | 5104 bytes |
SHA-256: fa8b937436f4fcbc7062ef48011c8cffd0fc4d55327423dfec631db311e8d1ce |
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font_01_sfnt_off00007780.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7780 | 10828 bytes |
SHA-256: 0120bbaae5e0f3fdff71e6eb5354c0c3888c5938243f09a3fd469552f0f4cbeb |
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