MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file contains a large number of embedded links, many of which point to a link farm designed to manipulate search engine results. One of the primary links redirects to a known malicious domain, ttraff.ru, which is likely used to host further malicious content or phishing pages. The document body, though partially corrupted, contains text related to PDF manipulation tools, suggesting a lure to entice users to click the malicious link.
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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Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTONDocument contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
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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.ru/pify?keyword=split+and+merge+pdf+files+free+online In PDF document text
- http://files.alextissiere.com/uploads/1/3/1/4/131406226/bf4727a0010abff.pdfIn PDF document text
- http://files.goldbergiryami-taxcert.com/uploads/1/3/0/7/130775277/2874932.pdfIn PDF document text
- http://files.nevrapoint.com/uploads/1/3/2/7/132710717/7833480.pdfIn PDF document text
- http://lisuwezep.bwm.life/uploads/1/3/2/6/132681556/nidim-jiwes.pdfIn PDF document text
- http://files.kingsporthorses.com/uploads/1/3/1/3/131383553/1742861.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/1/0437/3191/0810/files/kiwedexo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5121/2200/files/99867674198.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/9350/5688/files/porigibupijatuvasa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8094/9659/files/43864890420.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5981/3279/files/75361606055.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5095/7991/files/carestart_malaria.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3260/0985/files/kilefik.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1278/4277/files/69532404893.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9003/5366/files/67684067885.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6327/0815/files/gogeriseseriwiwejagaf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/1668/1629/files/python_coding_utf_8.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/5596/2522/files/45234346757.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00004f73.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4F73 | 5464 bytes |
SHA-256: ed15cb1a41112587be91adb34e6bbca8aee6a0840536707548724d062d93446a |
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font_01_sfnt_off000061f3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x61F3 | 12324 bytes |
SHA-256: 526fbf4cca13dbd6f508e3b9c64043b1d4303a4cc551797c988c33dccea8d468 |
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