MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a significant number of embedded links, with one identified as a malicious redirector. The heuristic 'PDF_SEO_LINK_FARM' indicates a large number of external PDF links, suggesting a tactic to artificially boost search engine rankings or distribute malicious content. The ML classifier also strongly flagged this PDF as malicious. The presence of the URL 'https://ttraff.ru/pify?keyword=super+fund+performance+list' is a primary indicator of malicious intent.
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=super+fund+performance+list In PDF document text
- http://files.ankorsvolunteer.com/uploads/1/3/0/7/130739693/fazijisuwojam.pdfIn PDF document text
- http://files.inharmonyliving.org/uploads/1/3/0/7/130739783/gasabol.pdfIn PDF document text
- http://files.unogroup-ucsd.com/uploads/1/3/1/0/131069819/tidekejepa.pdfIn PDF document text
- http://baxupako.springersofoz.com/uploads/1/3/1/3/131380600/wefawotefipokig.pdfIn PDF document text
- http://files.mepsabiotravel.com/uploads/1/3/1/0/131070859/wedakapukopowaropo.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/1/0436/4202/8190/files/google_docs_to_word.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2838/8772/files/genesevaror.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3644/1767/files/rovujarebedabiger.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0840/0280/files/armour_hot_dog_song.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8671/6830/files/jusosakavulafoxakig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1608/4891/files/61857708139.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/6550/5952/files/riesgo_electrico_peru.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5650/4744/files/jinatemofufixamipejuk.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1605/1096/files/gebetaxa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5735/6710/files/62434632954.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7822/1973/files/29600318185.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6643/3435/files/89555235330.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8607/8369/files/architecture_cv_format.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_off00006daf.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6DAF | 5404 bytes |
SHA-256: 161b124e7cd4bde9ec730c1ba00fdb1a243834062b78e0a26f6c4aaee512bed8 |
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font_01_sfnt_off00007ff3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7FF3 | 10320 bytes |
SHA-256: d17123c6cd425db840119c8539d30a87625c3075e58a4a1580101d0c5f905982 |
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