Malware Insights
The PDF document is identified as malicious by a machine learning classifier and contains a critical heuristic firing for a malicious redirector link. The document body, despite being obfuscated, contains the URL 'https://ttraff.com/pify?keyword=bohr+model+of+an+atom+worksheet', which is a known malicious redirector. The presence of numerous other PDF links suggests a link farm or a method to obscure the final destination. The primary attack pattern involves luring the user to click the malicious link under the guise of an educational worksheet.
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.com/pify?keyword=bohr+model+of+an+atom+worksheet In PDF document text
- http://files.ravenlawson.com/uploads/1/3/2/7/132740362/6174504.pdfIn PDF document text
- http://files.premieractprep.com/uploads/1/3/2/7/132710569/9217704.pdfIn PDF document text
- http://sakevo.torontometabolicclinic.com/uploads/1/3/0/7/130776394/2848699.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/1/0438/4315/8166/files/kunajekunobefamubela.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5428/5479/files/zutujipuraxir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0441/3099/2280/files/islamic_banking_in_pakistan.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5824/9376/files/webusifelafezupo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8212/9320/files/7048503210.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2068/1377/files/agenda_2020_onu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9091/1137/files/bring_up_the_bodies.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/6590/8123/files/81417114132.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/5063/5162/files/acrylic_painting_techniques.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0459/6354/2688/files/google_chrome._exe_free_for_windows_8.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7403/5607/files/amboni_caves.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5161/3334/files/91346539973.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_off00005457.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5457 | 5352 bytes |
SHA-256: 580448fb6e52fec20a04967fe9f97ae2d1d738a9465bf60106fe0003d7c0e01b |
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font_01_sfnt_off0000667a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x667A | 10032 bytes |
SHA-256: fedf6c65345c89d83c87b33ba6205a4fe39c30523d9f94804e849c098a240664 |
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