PDF malware analysis — malicious · 9d7607207853b78a

MALICIOUS

PDF

44.1 KB Created: 2020-11-03 23:14:41 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04

MD5: 85d4b47604940b585a322e7e15f03081 SHA-1: 143ce0a3e41cd93563cefd1c326d0cd2e5a6f8c4 SHA-256: 9d7607207853b78a91c3c31ef7a66403a34d2daa4e4d6371f8622aabc9f4366e

94 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF document was flagged as malicious by an ML classifier. The file routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 3

PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF 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.
Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL

The 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_URL

One 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/123?keyword=dead+of+winter+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4379611/normal_5f9897609524c.pdfIn PDF document text
- https://bawebixitowugar.weebly.com/uploads/1/3/4/3/134336924/jafare_zeguzugokugedux_benomopukiwo.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393762/normal_5f9b92f69c48f.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366947/normal_5f8752e2d8295.pdfIn PDF document text
- https://kinoxumore.weebly.com/uploads/1/3/4/4/134463035/dowub_fivasefalasuga.pdfIn PDF document text
- https://siwinapevaz.weebly.com/uploads/1/3/4/3/134338690/9a4f2.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4379374/normal_5f97b62cad88f.pdfIn PDF document text
- https://kudoxere.weebly.com/uploads/1/3/4/5/134591480/rivuduzud.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/e420a406-2392-4655-80bf-006b12f77d09/guwojovodurewuj.pdfIn PDF document text
- https://s3.amazonaws.com/baritexovopa/9232915658.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e4f35382-b306-4232-b773-fa40cb8b77e3/mr_darcy_takes_a_wife_wiki.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_off00006ce4.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6CE4	4916 bytes
SHA-256: `a17529ef36117632338dcb630ab69a9651431fdb3358649680356c364000ec4c`
`font_01_sfnt_off00007dc8.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7DC8	11292 bytes
SHA-256: `e73bae52db3565e1b167ece1ed7450e351324a1a5305b6c571e1f6994a30a35d`

Open this report in the interactive analyzer, or submit your own file for analysis.