MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
T1204.002 Malicious Link
The PDF contains a heuristic firing for a malicious redirector link pointing to 'ttraff.cc', which is used in conjunction with a 'black swan netflix' lure. The document also exhibits characteristics of a link farm, with numerous embedded URLs, many hosted on Shopify. The primary malicious URL is https://ttraff.cc/pify?keyword=black+swan+netflix, which likely serves as the initial stage for a phishing or malware distribution campaign.
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=black+swan+netflix In PDF document text
- http://files.aureliotobias.com/uploads/1/3/0/7/130739340/16513a8288e9.pdfIn PDF document text
- http://files.houseofmosaicaruba.com/uploads/1/3/1/4/131437453/9093242.pdfIn PDF document text
- http://files.paradiseprintsfashion.com/uploads/1/3/2/8/132813998/443a6.pdfIn PDF document text
- http://files.socalenduroseries.com/uploads/1/3/1/6/131606360/wanigefuwupugez.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/1/0429/6504/1308/files/lenoriloze.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/nuvororixepexovi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2598/9785/files/panamajoxuwekuvesixiba.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5624/1557/files/87299736511.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7792/7072/files/61170209935.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2613/6743/files/monster_rancher_2_rom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5053/2001/files/kolubojeseposokofufa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8321/6549/files/jegujubigakuf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9517/8902/files/20264214536.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7709/7886/files/belusojuragujer.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0191/2224/files/37166701468.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00008f35.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8F35 | 5052 bytes |
SHA-256: 7e8ef365cad6b8a5a13f44654c81661bd9bd4f507698baa4e23205a6042ff53a |
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font_01_sfnt_off0000a096.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA096 | 10544 bytes |
SHA-256: 6461550366cdb9f648abd6b9eeeab1b11a3dfeb5d7f96ba7da958ab76d210409 |
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font_02_sfnt_off0000c4d4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC4D4 | 16184 bytes |
SHA-256: 49305678ddc3927704cfc02727af5b4cbe1f68391941cda107b671ce7b1f30d3 |
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