MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a link farm and a redirector URL, indicating a phishing or scam attempt. The ML classifier strongly flagged this PDF as malicious. The embedded URL, 'https://ttraff.com/pify?keyword=en+iyi+doktor+kim+b%25C3%25B6l%25C3%25BCm', is a known malicious redirector, likely leading to a phishing page or malware download. No scripts were extracted, but the PDF structure itself facilitates the malicious redirection.
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=en+iyi+doktor+kim+b%25C3%25B6l%25C3%25BCm In PDF document text
- http://pavuwiwi.mskl313.com/uploads/1/3/0/7/130776457/8689450.pdfIn PDF document text
- http://wodosu.mthopebaptist.org/uploads/1/3/1/3/131384714/tizuno.pdfIn PDF document text
- http://files.iamphoto.co.uk/uploads/1/3/0/9/130969241/gorenorowi.pdfIn PDF document text
- http://kiwixef.russellwedwards.com/uploads/1/3/1/4/131408022/9ee2ec13b.pdfIn PDF document text
- http://files.franklinvolleyball.org/uploads/1/3/0/8/130815277/8813793.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/1/0427/7259/4844/files/70832476434.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8202/3061/files/poturuwuda.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9635/8565/files/76218129521.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/58085676994.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9503/8877/files/gususizevepilamebu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2926/5574/files/application_for_australian_citizenship_form_119.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7514/9719/files/family_assessment_tools_family_medicine.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9269/5456/files/atacand_hct_bula.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6665/3858/files/bending_moment_calculation_for_uniformly_distributed_load.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9959/4656/files/41754772356.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8320/9631/files/takobovorimamajorakoxofev.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8492/2526/files/kalujisotodakitojig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/909040323.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5405/6092/files/greg_everett_olympic_weightlifting.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/7710/5832/files/58693668016.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_off00006090.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6090 | 3092 bytes |
SHA-256: c5b6385736355184f6dd143c18ed298c8c6e588451010b8dd4c0456758b74c72 |
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font_01_sfnt_off00006bb4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6BB4 | 5104 bytes |
SHA-256: 3010046e076ecd204b33bc8bb17ed9c4653f41008edc635eb3bca57d1590612a |
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font_02_sfnt_off00007c8c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7C8C | 11708 bytes |
SHA-256: 93d0ed1f5745e736bf0ea415cf9edceff7b9ff620fbf9c95aa45fbaec61bfc5a |
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