MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous embedded links, with a critical heuristic firing for a malicious redirector URL (https://ttraff.com/pify?keyword=financial+aid+appeal+letter+template). This indicates a phishing or malware distribution attempt, masquerading as a financial aid document. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted, but the document body and heuristics point to a lure for 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=financial+aid+appeal+letter+template In PDF document text
- http://files.elginparkathletics.com/uploads/1/3/1/4/131406413/xikudenaw.pdfIn PDF document text
- http://mokiji.lidgettandbeyond.org/uploads/1/3/1/4/131453284/jewovixulosu.pdfIn PDF document text
- http://xisodij.commoncrazy.com/uploads/1/3/1/3/131378991/ef520be9.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/1/0433/4786/9850/files/free_worksheets_double_digit_addition.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7873/8335/files/91676511184.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/4162/6011/files/anesthesia_and_analgesia_in_laboratory_animals.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/45927795399.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9143/5422/files/58908104095.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4800/0927/files/tebiguweni.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3631/9639/files/articulo_de_opinion_ejemplo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8986/3580/files/nivokewatafifasovizubu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6454/0835/files/4333690202.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3916/1500/files/total_azolla_zs_46.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9901/2766/files/angkor_wat_guide_book.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0134/8255/files/jidusa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5858/4986/files/bsc_computer_science_syllabus_pdf_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0450/3427/4966/files/broad_based_black_economic_empowerment.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_off0000a8d7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA8D7 | 2828 bytes |
SHA-256: b7f317aa0f29cd34df008dc84d8f376d2685882a57a4a5cd0d86477d0adf885a |
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font_01_sfnt_off0000b2d2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB2D2 | 4676 bytes |
SHA-256: 66fa53c190ce47cd83b0f5448f798d4c9ada0fd2fff241e344d2cbde75982f8d |
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font_02_sfnt_off0000c285.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC285 | 10012 bytes |
SHA-256: 298a9754c8200fd5d928654b4d088897e5fa6deaf7347943ebf417640fe65803 |
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font_03_sfnt_off0000e4c8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE4C8 | 4324 bytes |
SHA-256: a542ec26cea93e049a2e27cd59b1347dd9bbdea13775fd7b822b3c2b3136116f |
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