Malware Insights
The PDF contains a lure for a 'pdf to word converter' and embeds numerous links, many of which point to potentially malicious redirectors. One critical heuristic indicates a direct link to known malicious redirector infrastructure via 'https://ttraff.cc/pify?keyword=pdf+to+word+converter+online+100+free'. Another heuristic flags the document as a link farm, suggesting an attempt to game search engines or distribute malicious links widely. The presence of a remote-support tool lure further indicates a social engineering attempt to gain user trust or access.
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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Remote-support tool lure high SE_REMOTE_SUPPORT_LUREDocument instructs the user to install, open, or connect with a remote-support tool such as AnyDesk, TeamViewer, Quick Assist, or ScreenConnect — high-risk in an unsolicited document
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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=pdf+to+word+converter+online+100+free In PDF document text
- http://files.ivesterearlycollegehallco.org/uploads/1/3/1/3/131381288/c1098f3e50d65d.pdfIn PDF document text
- http://files.reliefequineproducts.com/uploads/1/3/2/3/132303133/3443880.pdfIn PDF document text
- http://files.wessidevibrationsinc.com/uploads/1/3/1/4/131437312/5505649.pdfIn PDF document text
- http://pipepib.jcprhac.org/uploads/1/3/2/7/132740900/jezudaxivi-tefatu-vumod-bevuji.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/1/0431/8153/9483/files/42948622074.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9020/6119/files/24232880363.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8741/0840/files/ctet_question_paper_with_answer_key_2020_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7306/1532/files/innotech_dog_fence.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7245/3797/files/88150912909.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/8903/4402/files/git_move_changes_to_new_branch.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/6302/4542/files/mutisefaneginiden.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8266/1526/files/78318196341.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/5005/0460/files/87067426123.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8079/4780/files/elastic_and_inelastic_collision.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2873/4367/files/iris_sleeping_with_sirens.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2965/9805/files/89947349204.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8858/4605/files/bepasisazo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5799/5160/files/zevowaxew.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_off000078ec.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x78EC | 4972 bytes |
SHA-256: 09ab94cec3215edef6c7a89acba52b3fe00a3a686973ac18f2c7c4547723f6ca |
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font_01_sfnt_off00008a09.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8A09 | 10064 bytes |
SHA-256: 0028346a6db03c955db204aecd6ba4c6f908493ca4bfcac04addcf1a51aeb8db |
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