PDF malware analysis — malicious · 8b1c5d527274d8af

MALICIOUS

PDF

38.3 KB Created: 2020-11-04 16:44:34 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-27

MD5: 4693ca3ed7d376ad4ad1b001225949e9 SHA-1: 46af7664a46b04d03ec7cb68db403ba6d5a2ce70 SHA-256: 8b1c5d527274d8afddd17f485b52f5ecfdca5da089ea1360b0a35d3789ae6d1f

94 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.me/123?keyword=treat+your+own+back+mckenzie+pdf'. The document body, though heavily obfuscated, also contains this URL, suggesting it's the primary lure. The ML classifier also strongly flagged this PDF as malicious. The presence of embedded URLs and the nature of the redirector link indicate a phishing or credential harvesting attempt.

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.me/123?keyword=treat+your+own+back+mckenzie+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4387921/normal_5f989b9701eda.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375908/normal_5f9c7aedc6921.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/e61a534e-e3e7-4dff-afaa-561cdbf35bd7/54226392515.pdfIn PDF document text
- https://s3.amazonaws.com/xaliwalufoguni/3923610545.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3c1e13db-67da-4108-81f2-c941104bb38d/50221722629.pdfIn PDF document text
- https://s3.amazonaws.com/vokeri/40875242356.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1116ada8-56be-4649-8064-3a99f5fafb93/89221164116.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b75231e5-2222-44d8-9028-fa420842bdcf/pokemon_essentials_mega_evolution.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/89c4bf8a-505e-4914-9a72-c85ad7b697e6/pumetebomemizemafakukeler.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f516fc7e-9569-4ce9-9ac4-95a5349e60ca/3774288518.pdfIn PDF document text
- https://s3.amazonaws.com/rotafasaniz/kenmore_70_series_dryer_heater_element.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1ee323ab-cab5-47b2-98ba-8ad4f6b59f2d/vugiru.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/89592237-bcd8-489c-9d53-0f9189d64f3a/76669852402.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8d7d51b7-74f4-44de-a565-71f5474f8fa1/ripirudevifegivu.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_off000055c3.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x55C3	5488 bytes
SHA-256: `5f5dc0e81de1478859384a7a60c3a387cdeef0c73850ffdad118c5c32bfe4e35`
`font_01_sfnt_off0000687a.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x687A	10592 bytes
SHA-256: `36548ac516e5fad7db7b79327f52ea6be0742ed73a03e50560ea74d757c8420c`

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