MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file contains a heuristic firing for a malicious redirector link, pointing to 'https://ttraff.cc/pify?keyword=thesis+abstract+format+pdf'. It also exhibits characteristics of an advance-fee scam lure, suggesting a deceptive purpose. The document body, though heavily corrupted, contains fragments of the lure text and the malicious URL. The presence of a link farm further indicates malicious intent, likely to distribute further payloads or engage in SEO poisoning.
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.cc/pify?keyword=thesis+abstract+format+pdf In PDF document text
- http://files.couplematters.org/uploads/1/3/1/4/131452942/d3288e.pdfIn PDF document text
- http://files.abtc2018.com/uploads/1/3/2/7/132712206/jonanomeliwoxivepoji.pdfIn PDF document text
- http://files.eventsforafrica.com/uploads/1/3/0/8/130814195/2273336.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/1/0430/4194/7801/files/roxexumevenirob.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7039/7352/files/ravaludirivun.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/49090326843.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/5582/3525/files/runegozotubifokalugif.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2287/5800/files/99893037207.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7352/8213/files/litabujejamopakaso.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0161/8327/files/midavemidexexo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9360/6046/files/81904952645.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/biludetejuvujatolometa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7791/9129/files/mulogugotupezujomu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0845/7885/files/application_for_schengen_visa_italy.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_off000068e7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x68E7 | 5132 bytes |
SHA-256: 085e05a2ff60524de671f8798f4093c8ec1564d39f2607a9a91a71ee970d2353 |
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font_01_sfnt_off00007a50.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7A50 | 10560 bytes |
SHA-256: d643a1400cb09d4d57d51edd3c491e69ebf54130ee1b4b32fd0cb62635ebab89 |
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font_02_sfnt_off00009e62.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9E62 | 4324 bytes |
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
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