PDF malware analysis — malicious · 3cb762cd2dabcf77

MALICIOUS

PDF

45.8 KB Created: 2020-11-01 14:43:28 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04

MD5: 22671edcf22cc00f22bdb075360deae6 SHA-1: 2a4f7c6d5bdff2a6c8a2be75c8cb043d84d6ac54 SHA-256: 3cb762cd2dabcf779d96e69f0c554622f5fd3b8571f5794a991a021b2fe8b93a

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.link/123?keyword=is+700+answer+key+fema In PDF document text
- https://cdn-cms.f-static.net/uploads/4405899/normal_5f937f4c59bc7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4381529/normal_5f97c89df1fd9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4401692/normal_5f9929c7961f5.pdfIn PDF document text
- https://pusojavinobaz.weebly.com/uploads/1/3/4/3/134353251/3607be0027.pdfIn PDF document text
- https://satobolusiv.weebly.com/uploads/1/3/1/3/131398412/tusumivogemumipe.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/1/0504/3519/5054/files/susisi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0482/2912/2200/files/30574501167.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0502/9865/0797/files/97819815622.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/4254/9145/files/redabikiwevipisanunig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0508/3004/9445/files/repevalijofifogajuvado.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_off000069cb.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x69CB	4848 bytes
SHA-256: `78bf25e654a60a9231ec8def7f86d4c6a9e843bf80e3e2c61efaf4c192f55cb5`
`font_01_sfnt_off00007a2f.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7A2F	10284 bytes
SHA-256: `8513666079be526f6c2cd49bd86a2b596abc47b4ce68aeff8b5d9bab9b4ecff5`
`font_02_sfnt_off00009d2a.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x9D2A	4324 bytes
SHA-256: `b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c`

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