PDF malware analysis — malicious · c2b35c8ae7fdd3e1

MALICIOUS

PDF

33.1 KB Created: 2020-10-31 03:40:26 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04

MD5: ca73b05f7e79cc49e3a42b81ffeb3b4d SHA-1: 2bf068c1c545ef9f133e0abc5cc72e1e38bb0544 SHA-256: c2b35c8ae7fdd3e1ff20d194963b04a28afd4dc239619ce9e73078c88f717ba4

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.me/123?keyword=rush+hour+karting+jobs In PDF document text
- https://nagifinapu.weebly.com/uploads/1/3/2/6/132696111/4373169.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368950/normal_5f8a26eb3f9bb.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366381/normal_5f88f57aeb1e8.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/9432/0311/files/47124374801.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0501/7504/9878/files/rubusa.pdfIn PDF document text
- https://s3.amazonaws.com/mejifavo/74681879699.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5933/9673/files/que_es_genocidio.pdfIn PDF document text
- https://s3.amazonaws.com/fadedosi/zovavelelog.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files/bavizotigokurimo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/3680/5800/files/knobelaufgaben_mathe_klasse_7.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/8546/6267/files/34046069059.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0495/2614/5190/files/hymne_a_lamour_roland_dyens.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_off000044b2.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x44B2	5204 bytes
SHA-256: `6e61914fa92b485eaf74b3c58524183cabfe8b16606f37423445a7ac2d785036`
`font_01_sfnt_off00005665.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5665	10016 bytes
SHA-256: `3fb303b93dd105d68d15bf5e4848dce8754bf64f9634324d46f436a74c83ecd1`

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