PDF malware analysis — malicious · 3d042f05cfd4d3f5

MALICIOUS

PDF

43.9 KB Created: 2020-11-07 01:47:15 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-03-01

MD5: 6c92188e49c746fddbf83fce6922214c SHA-1: 8a322a445e5fc259c4f8668b1622eb5c2ad19021 SHA-256: 3d042f05cfd4d3f55c83991b6974672b8e0020262963396694c9af6d34794470

134 Risk Score

Machine Learning

Nyx PDF Classifier malicious score 0.9999

Heuristics 4

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.
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.
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://traffking.ru/aws?keyword=amelia+earhart+education+summary In PDF document text
- https://cdn-cms.f-static.net/uploads/4380078/normal_5f8fabccc8833.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4373505/normal_5f9ebea66b793.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://vabavoresadi.files.wordpress.com/2020/11/debewasomogoro.pdfIn PDF document text
- https://kibuvesulofu.files.wordpress.com/2020/11/midnight_for_charlie_bone_download.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/803e87dc-b856-460c-a5ac-59805aca09e2/48475950483.pdfIn PDF document text
- https://sukifozupi.files.wordpress.com/2020/11/voruzosov.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f8b3d47d-cde8-4540-83d7-37290124dd48/currie_middle_school_bell_schedule.pdfIn PDF document text
- https://kapenisezu.files.wordpress.com/2020/11/forodenuzuguxikefaxokob.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_off00006c48.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6C48	5268 bytes
SHA-256: `01d198ab758b18402d48dfee68c393d1d4a03dc07d762cec6e67b066c5280891`
`font_01_sfnt_off00007e05.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7E05	10948 bytes
SHA-256: `d926146b1accac2442dd5632c145bbe4c42868eb83f1536becd0b6edd5da697e`

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