MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
T1203 Exploitation for Client Execution
The PDF contains multiple links, including one to a known malicious redirector at `ttraff.ru`. This redirector is presented to the user as "molar volume of gas lab answers", indicating a social engineering lure. The presence of numerous external PDF links suggests an attempt to create a link farm or distribute further malicious content. The ML classifier strongly indicates 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=molar+volume+of+gas+lab+answers In PDF document text
- http://files.christiangreenlmt.com/uploads/1/3/0/7/130738969/6021513.pdfIn PDF document text
- http://files.giaddiecreations.com/uploads/1/3/2/7/132712326/9694830.pdfIn PDF document text
- http://files.spiritualself-inquiry.com/uploads/1/3/1/4/131438427/6247053.pdfIn PDF document text
- http://diwozoxef.ivexpo.com/uploads/1/3/2/7/132710589/2100133.pdfIn PDF document text
- https:///https:///https:///27bIn 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/1/0434/6360/6429/files/playboy_magazines_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0155/1771/files/cycle_country_plow_parts_diagram.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/4303/2981/files/90329828806.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6019/1641/files/nupirarakir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6203/4589/files/brain_teasers_worksheet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2502/2621/files/kabary_betsileo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4275/8056/files/84092837972.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5643/8165/files/android_10_xiaomi_a2.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5181/8903/files/the_disappearance_of_hatsune_miku_piano_sheet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8078/5821/files/accessible_tables_in.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000068d7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x68D7 | 5384 bytes |
SHA-256: 64208f202a69d33551b99ac3c7f8366963ee5f60b80fe6f59d41735b3e779fac |
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font_01_sfnt_off00007b35.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B35 | 17036 bytes |
SHA-256: d30dee97d771645bdb6df6d476bb1a116fe8ec7b89447c4bc89531751b7f42eb |
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font_02_sfnt_off0000b027.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB027 | 16204 bytes |
SHA-256: e93acd332f5893643511f4cefd38969ad5c744ad1b08842a788b6be7d277dd15 |
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