MALICIOUS
214
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document is designed to trick users into clicking a link that appears to be an 'Uber data breach case study PDF'. The link redirects to malicious infrastructure, specifically `https://ttraff.cc/pify?keyword=uber+data+breach+case+study+pdf`, which is identified as a malicious redirector. The document also contains a large number of links to other PDFs, suggesting a link farm or SEO manipulation tactic to distribute malicious content. No scripts were extracted, but the presence of embedded URLs and the redirector strongly indicate a phishing or social engineering attack.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
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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=uber+data+breach+case+study+pdf In PDF document text
- http://files.nolimitsgb.org/uploads/1/3/1/6/131606408/pavezoki.pdfIn PDF document text
- http://files.darvanadoulaservices.com/uploads/1/3/1/3/131381374/83738.pdfIn PDF document text
- http://files.traceymcgovernphotography.com/uploads/1/3/0/7/130775647/maxelofidelata.pdfIn PDF document text
- http://files.nosterud.com/uploads/1/3/1/3/131379699/jabuvitixabigen.pdfIn PDF document text
- http://files.sr3d.co.uk/uploads/1/3/1/3/131380308/4353398.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/1/0428/8764/3302/files/39485973763.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6355/8815/files/45636383980.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2311/3119/files/koxaluzotenuluk.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/sebifoxof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0290/3202/files/13420414495.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3935/9127/files/vefekabovikofunuku.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4635/4594/files/twilight_the_graphic_novel_collector_s_edition.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7410/1160/files/maxxforce_7_service_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2940/4567/files/84052311122.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/fovurasavelibegesixaga.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3536/1442/files/tabedikenipasikimixud.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_off00006be5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6BE5 | 5064 bytes |
SHA-256: d17e2f45005dd8927d2a83523b3878b75aea0010a598bc34d865b444c44eab7f |
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font_01_sfnt_off00007d32.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D32 | 10876 bytes |
SHA-256: 63c95adbb51f9bbe89ceda46fd98bd7b24d88c9fcad1e102afbc746479401575 |
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font_02_sfnt_off0000a21c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA21C | 4324 bytes |
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
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