MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links, many of which point to a redirector service (ttraff.com) that is flagged as malicious. The document body, though heavily obfuscated, contains a reference to 'Coffee meets bagel app' and the malicious URL, suggesting a phishing or scam lure. The presence of embedded links and the ML classifier's high confidence score indicate a malicious intent to redirect users to potentially harmful 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=coffee+meets+bagel+app In PDF document text
- http://sapodopi.basketballhelp.net/uploads/1/3/0/8/130873954/cc31ba2075.pdfIn PDF document text
- http://mekawi.archiopedia.org/uploads/1/3/0/8/130813650/muxitepelupego_dalivafib_rukuduvazepoli_jeluwozudagik.pdfIn PDF document text
- http://pafosom.thebakingpixie.com/uploads/1/3/1/4/131407089/pawelufevibe.pdfIn PDF document text
- http://juvugon.smiths2colombia.com/uploads/1/3/1/6/131636725/fefaxafasoba.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/1/0440/9946/9464/files/37716596031.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0087/3631/files/77955728220.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3013/4427/files/jiduzigafivigofunakoxemut.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7870/4536/files/zolavilopujagi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/xugifewelogukepebokiz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4485/4165/files/32749221501.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8714/3839/files/73973732642.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1959/0040/files/senaxosodigomi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4976/3494/files/koneroje.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4444/5082/files/gelaxowazujunik.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0485/4426/files/radha_krishna_bhajan_mp4.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/3123/0624/files/videojet_1520_service_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9114/9471/files/88402542213.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6403/3429/files/vobewezubavavakuji.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_off000078da.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x78DA | 4924 bytes |
SHA-256: 3a89d13f494a17ecf8849f62a78e32508607fda0494befaeaba768e4dbd6e244 |
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font_01_sfnt_off000089a9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x89A9 | 10720 bytes |
SHA-256: 3eb5142f227b74ba4c5f30c8ec4e040a516f8e63f8fa3b4af47c30287afb7919 |
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font_02_sfnt_off0000ae54.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xAE54 | 4324 bytes |
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c |
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