MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a heuristic firing for linking to known malicious redirector infrastructure, specifically directing users to 'gettraff.ru'. The document body, though heavily obfuscated, contains the URL and keywords suggesting a lure. The presence of embedded URLs and the ML classifier's high confidence further support the malicious nature of this document, likely intended to redirect users to malicious sites.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
-
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.
-
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.
-
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.
-
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://gettraff.ru/strik?keyword=vertical+farming+thesis+pdf In PDF document text
- https://site-1036991.mozfiles.com/files/1036991/95283735071.pdfIn PDF document text
- https://site-1037219.mozfiles.com/files/1037219/vezotadiwilukodexon.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0431/4667/4337/files/netozuwuxezili.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/26384136461.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0028/2785/files/fesafuxovebagedil.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/8232/3870/files/chal_ve_tu_bandeya_song.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3863/8241/files/broken_shore_world_quest_timer.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a2cfd438-b21b-4501-bf77-8e3857cfc77f/85653343800.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/fc9ab916-2d20-40bd-8437-be9db321c245/jizijalipisu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2225/3205/files/5.1_models_of_the_atom_quiz_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1767/4656/files/.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6550/6966/files/jejul.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2752/8871/files/cnet_best_android_phones_2017.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9491/5738/files/wawufumumaxet.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_off0000a195.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA195 | 5212 bytes |
SHA-256: b0c034301547f47c3057628089aeac0ea6b439bbd1701ac04796e0072a80bde6 |
|||
font_01_sfnt_off0000b31a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB31A | 10716 bytes |
SHA-256: 570f2c946857f09891f7f5640058f10c940b07943d3b3f29a0078c12844ebe26 |
|||
font_02_sfnt_off0000d7aa.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD7AA | 4324 bytes |
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.