MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains numerous links, many of which point to a redirector service (ttraff.cc) that is known to host malicious content. The heuristic PDF_SEO_LINK_FARM indicates a large number of external links, suggesting a link farm or phishing attempt. The ML classifier also strongly flagged this PDF as malicious. The embedded URL in the document body, 'https://ttraff.cc/pify?keyword=python+flatten+array', is a clear indicator of malicious intent, likely leading to a phishing page or malware download.
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=python+flatten+array In PDF document text
- http://files.skar-productions.com/uploads/1/3/0/9/130969399/tiwix.pdfIn PDF document text
- http://files.jtidentures.com/uploads/1/3/1/4/131438843/kedaxexu-degosuwa-duzazomofiw-nokabapivube.pdfIn PDF document text
- http://files.keelestudenthouses.com/uploads/1/3/0/9/130969310/7934872.pdfIn PDF document text
- http://files.coastalsilviculturecommittee.com/uploads/1/3/1/3/131380641/62d0f180.pdfIn PDF document text
- http://files.meganmmoore.com/uploads/1/3/2/7/132740187/wumetu.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/1/0437/1575/6181/files/nsfw_subreddits_411.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2161/5775/files/vufolufa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3906/4225/files/dipixupekivonivizazed.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4979/4213/files/nukori.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1107/9317/files/24409361505.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8370/3206/files/57146995934.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9239/3640/files/57105164473.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/4146/5244/files/18125004430.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2760/3354/files/cher_lloyd_oath_lyrics.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/9755/4084/files/vapobi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/5837/8392/files/54344734697.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6279/6186/files/81210935758.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/42820491308.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2960/2205/files/72646915813.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_off00006d2b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6D2B | 4780 bytes |
SHA-256: 0c0a3e0ea1e616c2378c07108e1047a44017f614cd5f0b0dd7adafe7b88434ca |
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font_01_sfnt_off00007d6f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D6F | 13696 bytes |
SHA-256: 15dc0ef908af7a9fc2b228777953b828a78f298be2cdc79679ccf5442c98599f |
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