PDF malware analysis — malicious · 85802d25635152c7

MALICIOUS

PDF

42.5 KB Created: 2020-11-08 21:06:47 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-23

MD5: 30bf5c2c68321a614ed3c091f53a2857 SHA-1: 4e42ecc322c44667e41cb9305a89ca9337b5f4f6 SHA-256: 85802d25635152c7d2d9669eec9420b902e299d7755ff848cf48b75e579f5dbd

76 Risk Score

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 4

Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK

PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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?keyword=comcast+employee+handbook+2018 PDF link annotation
- https://cdn-cms.f-static.net/uploads/4376362/normal_5f89a1921ad84.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4416494/normal_5fa2dc89129a4.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/tuxutedi/study_guide_chapter_12_environmental_science.pdfIn PDF document text
- https://s3.amazonaws.com/firudegix/youtube_teachings_of_jesus.pdfIn PDF document text
- https://s3.amazonaws.com/simujix/xbox_360_wireless_controller_user_manual.pdfIn PDF document text
- https://s3.amazonaws.com/navoburarovada/breast_implant_recalls_for_allergan.pdfIn PDF document text
- https://s3.amazonaws.com/zuxadol/najurafadixug.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d70b6143-d15d-46ae-b2be-a36a53ea3a4f/50000565617.pdfIn PDF document text
- https://s3.amazonaws.com/fasomusogapovi/loxekidabaludikadepemexit.pdfIn PDF document text
- https://s3.amazonaws.com/mejawiwomak/gokakoxatevemusejuna.pdfIn PDF document text
- https://s3.amazonaws.com/mubemutolewe/skyrim_the_man_who_cried_wolf_won_t_start.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_off00005feb.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5FEB	5948 bytes
SHA-256: `010890f854189132391bfa4fcea3af19cf11abfba199c4252feacc9ceb7f7ed4`
`font_01_sfnt_off00007400.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7400	12968 bytes
SHA-256: `e775573b8571dcca9d8d19c74b30765a10b79748ebec61dc4fa95df8c6e75f7c`

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