MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
This PDF file was flagged by a machine learning classifier as malicious and contains numerous embedded links. One critical heuristic identified a link to a known malicious redirector infrastructure at 'ttraff.ru'. The document body, though heavily obfuscated, contains references to the same redirector URL and a large number of other URLs hosted on 'cdn.shopify.com', suggesting a link farm or SEO poisoning tactic. The primary attack pattern involves redirecting users to malicious sites, likely for further exploitation or phishing.
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.ru/pify?keyword=chinese+new+year+paper+cutting+templates+pdf In PDF document text
- http://files.faithforher.com/uploads/1/3/1/6/131606260/xugepazu.pdfIn PDF document text
- http://nakibazo.macclesfieldpoolleague.com/uploads/1/3/1/8/131856177/sikowusupiwutox-mirifisatasukur-zekijogadizi-vujudop.pdfIn PDF document text
- http://files.littlefootbridges.com/uploads/1/3/0/7/130740517/tutikupipupobufu.pdfIn PDF document text
- http://files.publicschools305.org/uploads/1/3/0/7/130776875/kofusijigefuvo.pdfIn PDF document text
- http://files.houstonprimaryschool.com/uploads/1/3/1/3/131398253/067d284f2.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/1/0435/9975/7474/files/dakulejikekobagozuji.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/9794/7300/files/cinderella_story_english.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1540/4695/files/roaring_20s_font.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9318/1081/files/61107103428.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7839/3764/files/oblivion_horse_armor.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8143/3242/files/18392548221.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8675/7536/files/biodiversit_microbienne.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0701/6103/files/pevemore.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8677/4436/files/gerugepuripemu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7677/1224/files/vozafir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0363/3051/files/67170052504.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2078/7613/files/21167876364.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/zugazad.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8733/1481/files/91999388545.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_off00006825.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6825 | 5556 bytes |
SHA-256: 5163093a53209138d1302314b76d9a84bbb22194ccd27daee35daceedb776d75 |
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font_01_sfnt_off00007aee.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7AEE | 10212 bytes |
SHA-256: dc08430943456dec9fb581d7e0149552b3c924869e84c4d814f30464425d8114 |
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font_02_sfnt_off00009da3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9DA3 | 4324 bytes |
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2 |
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