MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.cc/pify?keyword=video+er+mac+free+full+version'. This URL is part of a link farm designed to attract search engine traffic. The document body, though heavily obfuscated, also contains this URL and references to 'video er mac free full version', suggesting a lure for free software. The ML classifier strongly supports the malicious nature of this PDF.
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=video+er+mac+free+full+version In PDF document text
- http://files.adhlenglishlabradors.com/uploads/1/3/1/8/131871902/tonetoxanav_venaxemupux_badekizirexo_nizoruvol.pdfIn PDF document text
- http://files.mortonshetlands.co.uk/uploads/1/3/1/4/131438274/d37075075.pdfIn PDF document text
- http://masamizug.huongseng.com/uploads/1/3/1/0/131071114/tiwejoxin_jegapawifo.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/1/0433/1474/1413/files/febinobezibakipe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9146/7176/files/addis_ababa_university_accounting_research_paper.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4486/2114/files/vibolozoni.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/8292/2646/files/belotujojipepufutazo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0538/6657/files/the_haunting_of_hill_house_novel.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7818/0257/files/61117052088.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0755/7283/files/790708410.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4509/3533/files/wimurewaboziviberarewet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2143/4005/files/37412457929.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/7354/5116/files/albany_state_university_application.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_off00006891.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6891 | 3288 bytes |
SHA-256: 6ab46f12474e68139f673941b37e9ef79510a81aedee0b72b2ed9b9adda6591a |
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font_01_sfnt_off00007454.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7454 | 5192 bytes |
SHA-256: e7b60d60e9b36fc08d90a5a54e0b60ae316e2995880723f3a192a0754167dbf8 |
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font_02_sfnt_off000085ec.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x85EC | 9968 bytes |
SHA-256: d0ab9132fb891d8aa022dffa5b3936d2adce1701021e26bd703281b701e0f65b |
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