MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links, including one to a known malicious redirector (https://ttraff.ru/pify?keyword=acca+f6+notes+2020+pdf). This suggests the document is designed to lead users to malicious infrastructure, likely for phishing or to download further malicious content. The ML classifier also strongly indicated maliciousness.
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=acca+f6+notes+2020+pdf In PDF document text
- http://files.evemarieshahoian.com/uploads/1/3/1/3/131398504/2015596.pdfIn PDF document text
- http://files.imagesbylesrigby.com/uploads/1/3/1/6/131606815/2137416.pdfIn PDF document text
- http://files.lulingicehousepottery.com/uploads/1/3/0/7/130740069/dabevafovitagufob.pdfIn PDF document text
- http://lumujirel.lesbiandiscussiongroup.com/uploads/1/3/0/7/130738914/415892.pdfIn PDF document text
- http://files.theburyingparty.com/uploads/1/3/0/7/130740255/pedezowarita_kusenavilojoxok.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/1/0431/5391/6053/files/75784557513.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7833/7187/files/vemozemuramemep.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9208/9759/files/45794286264.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/6881/5528/files/mahalaxmi_calendar_march_2020_marathi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/3997/1738/files/articulo_cientifico_cancer_de_prostata.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2278/6466/files/ielts_speaking_topics_with_answers_book.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6103/5686/files/business_law_book_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/2042/5115/files/panaverafefemilo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8037/5704/files/walubikafesivu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0935/1575/files/2040640927.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6125/6091/files/patawidexoleguzotigu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/0633/2825/files/williams_exercises_for_back_pain.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6802/3194/files/towitegotubujovatiketapa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5915/1009/files/gre_vocabulary_list.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_off00006a22.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A22 | 5436 bytes |
SHA-256: a814ba7b1e72338d5eba72bcbf2ed92571d205645757065d602fea303a500511 |
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font_01_sfnt_off00007ca9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7CA9 | 10312 bytes |
SHA-256: 5707f5a7adc0fab942f6b74de28ad04e51c284ecc25d6ce36bdf79972f001ca9 |
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