PDF malware analysis — malicious · 15b3a8eba68db99a

MALICIOUS

PDF

41.8 KB Created: 2020-10-31 05:00:43 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04

MD5: 94174c75957c30fd3c2d2f80b8f98a9e SHA-1: d7d56fc25a3e68c3a8f5923c3c7306e1847bf1ef SHA-256: 15b3a8eba68db99a937e18e7fbd884361068abb6a5d07ca9b2edecaefec74749

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://ttraff.cc/123?keyword=the+witching+hour+book+review In PDF document text
- https://cdn-cms.f-static.net/uploads/4379736/normal_5f91e99878b21.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375708/normal_5f91e370ca5a4.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365653/normal_5f870e6064151.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4386366/normal_5f91fd9c4775e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374022/normal_5f8b20e29703f.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/812e3471-c431-453b-be82-cc062aa00016/bo_haftalk_ders_program_izelgesi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a002c01f-ca37-4501-bc47-c58d374d45e7/18624514897.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/9012e6ff-8b67-4eb6-8b07-0022f9ca3a6f/43869885135.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b8fb354b-4621-4e88-b625-6ddaebfcce4b/37380076305.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/4220986f-779a-47c7-91c1-b18d8ca0ad31/53849889402.pdfIn PDF document text
- https://s3.amazonaws.com/wenobagupexekap/benefits_of_mango_leaves.pdfIn PDF document text
- https://s3.amazonaws.com/suximawo/roblox_nsfw_ss_scripts.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_off000067db.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x67DB	4948 bytes
SHA-256: `985b4de4e78da1df5408d56f2177d53f2e4a995274d1e9826221947c39618bb6`
`font_01_sfnt_off000078ce.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x78CE	10008 bytes
SHA-256: `e39de6b1522b5d8fffbd0d8c5567a3f068dbe8350a7d08fc9e6ccc0ebce60dc0`

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