PDF malware analysis — malicious · 46eb7f59a85d9b1a

MALICIOUS

PDF

41.5 KB Created: 2020-11-01 12:24:26 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-02

MD5: 79d1b53795fb7412ba8a0878b429ac60 SHA-1: 96c75e0a062568da3f207e836d7be6fbc79462c5 SHA-256: 46eb7f59a85d9b1a40555f42d8ff71468c64cbfc8d6895e21ca5e86738ee7404

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=actividades+diarias+in+english In PDF document text
- https://cdn-cms.f-static.net/uploads/4366335/normal_5f99163c6d53d.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4390642/normal_5f9bd4d189455.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368741/normal_5f9a142be1e68.pdfIn PDF document text
- https://fasefipuronupa.weebly.com/uploads/1/3/4/4/134471496/punij.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366033/normal_5f870a1367e6d.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369304/normal_5f8dac8b8805c.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://uploads.strikinglycdn.com/files/72e18ad7-fbc4-4856-b6ee-0eb3acd02f66/jokeviga.pdfIn PDF document text
- https://s3.amazonaws.com/muvarelo/torib.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0268/7834/5387/files/why_this_kolaveri_di_chords.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3669950c-b29c-413a-895a-78e44a3741e0/the_21-day_sugar_detox_diane_sanfilippo.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_off0000574e.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x574E	4928 bytes
SHA-256: `8c171a8cfc58b80d1d435951c8656acd7d9d24fd70004c68b5ed402de5d45825`
`font_01_sfnt_off000067f8.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x67F8	10584 bytes
SHA-256: `1e4be249e4638ba1eaca2f210df02b830ee7385f2a819a767aa19188afc38163`
`font_02_sfnt_off00008b49.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8B49	4324 bytes
SHA-256: `4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3`

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