PDF malware analysis — malicious · 1d86ec710fbbef7b

MALICIOUS

PDF

71.9 KB Created: 2020-11-19 14:27:01 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-15

MD5: 8eff17dce6e1b809dd12a0ec00b46b6b SHA-1: 1dbeafcf4822bca443422f864aca64df0a99ea3f SHA-256: 1d86ec710fbbef7b82836bf9ecb360bc24ab372ddd9b191aefd67aa210d02b4d

96 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a large number of external links, identified as a 'PDF_SEO_LINK_FARM' heuristic, suggesting a malicious intent to direct users to potentially harmful websites. The ML classifier also strongly indicated maliciousness. While no scripts were directly extracted, the presence of numerous external URLs points towards a phishing or content distribution scheme.

Machine Learning

Nyx PDF Classifier malicious score 0.9967

Heuristics 4

Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM

Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
External URI info PDF_URI

PDF contains an external URL action
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://traffset.ru/123?utm_term=schwinn+s350+electric+scooter+specs PDF link annotation
- https://cdn-cms.f-static.net/uploads/4414164/normal_5f98489292597.pdfIn PDF document text
- https://gojolukok.weebly.com/uploads/1/3/4/4/134455450/wosovebupeb-keluxim-tajutipe.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4401714/normal_5f98329729813.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/8edb3792-69d4-4cde-9cf6-0b2233024a62/hamster_dance_song_id.pdfIn PDF document text
- https://s3.amazonaws.com/luborinizu/wamikusofaronolanitebabip.pdfIn PDF document text
- https://s3.amazonaws.com/toguvaju/code.org_lesson_15_answers.pdfIn PDF document text
- https://s3.amazonaws.com/kufazete/calorie_counting_book.pdfIn PDF document text
- https://s3.amazonaws.com/gewuwasi/xalamovobodavofonofifok.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/bc0e6208-8fdf-401b-9b24-b9cab3d94be3/91543475009.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_off0000dcf9.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xDCF9	5436 bytes
SHA-256: `690090a275f0d63e2c1bb9836775eba3c73f7f5407fcd52432dc40f202c16ad1`
`font_01_sfnt_off0000ef89.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xEF89	10568 bytes
SHA-256: `92ac1bd0ac70ede708ac5c251c3e798b78bed2db249f3b8b980b7461e3e2f1cd`

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