MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link to a known malicious redirector, ttraff.cc, which is likely used to obscure the final destination of the malicious payload. The document body also contains a large number of links to various PDF files hosted on Shopify, suggesting a link farm or SEO poisoning attempt to increase visibility. The ML classifier strongly indicated maliciousness, and the presence of a redirector URL points to a delivery mechanism for further 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.cc/pify?keyword=vidmate+er+apps+video In PDF document text
- http://files.studiocomforttx.com/uploads/1/3/1/0/131071043/3459038529b.pdfIn PDF document text
- http://fewesebo.moraira-holidayvillas.com/uploads/1/3/2/3/132303238/8994521.pdfIn PDF document text
- http://maguvepe.keyboards.es/uploads/1/3/1/1/131163635/xukawizozusor.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/1/0449/6100/5736/files/roman_catholic_telugu_bible_free_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6557/3537/files/33271451462.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/28851780814.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1634/8071/files/share_allotment_letter_format.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6236/1245/files/persona_5_how_do_you_train.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/3490/0642/files/kavavizinejidirafarib.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2974/9147/files/anemia_ferropenica_y_embarazo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/41718344304.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6169/8969/files/zixafigomitukalefipebun.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4302/7104/files/zififizugaxofuj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9889/8592/files/xojagifozatojaremorunolad.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9336/0791/files/likewukilufuvofabukifezo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6211/6008/files/arranged_rk_lilley.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7098/8196/files/vesapobibukodonuf.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_off000065d7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x65D7 | 2952 bytes |
SHA-256: cb9072f881c1fe0ad8900bbcc5a20a23fabb306412f64e001cac76c2a9509f2c |
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font_01_sfnt_off00007066.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7066 | 4780 bytes |
SHA-256: 990cc644b0b2b67a4de0a508e030b348f21682b6cb3b18d59f1ecf4ac58608c8 |
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font_02_sfnt_off000080a3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x80A3 | 10112 bytes |
SHA-256: 95928f2bb705fb5d199cf89a3e078f112a435088fd3272ff1be4507eb3629757 |
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font_03_sfnt_off0000a349.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA349 | 4324 bytes |
SHA-256: 1062cd8ddf90f4344fa193b395386d5669df1a952e5759311ca261a71931f361 |
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