Malicious PDF — malware analysis report

Static analysis result for SHA-256 9ba0551f515f0b75…

MALICIOUS

PDF

47.1 KB Created: 2020-11-08 17:43:30 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-23
MD5: bb941e48ae86fc8e0e2bf6c29dddc9a3 SHA-1: 12787ed1243bee436ce2b056db88dd0486d04cb9 SHA-256: 9ba0551f515f0b75e220bce37c1a47e2805361101cee43fab3393c727e9d83eb
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • 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.
  • 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://traffmen.ru/aws?keyword=science+method+controls+and+variables In PDF document text
    • https://forunevelaviwa.weebly.com/uploads/1/3/4/3/134392474/mimulowejirafe.pdfIn PDF document text
    • https://pigogokeda.weebly.com/uploads/1/3/1/8/131857695/lisivolekut.pdfIn PDF document text
    • https://xojerajap.weebly.com/uploads/1/3/1/3/131384359/zebapesuluboxaj.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://uploads.strikinglycdn.com/files/3acea043-600a-4df3-8bb8-38e03c4f6e50/niwajudive.pdfIn PDF document text
    • https://sufuvuse.files.wordpress.com/2020/11/3074016501.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/76a6ddc4-5ff5-4225-8341-21e3502e854a/buverejaboxomunop.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f505ac99-b7e8-4a34-ac69-dfdccc4415fc/unblocked_games_hacked_stick_war_2.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5b58e9c8-7b65-46d8-a5cd-bce4edfef296/sugenodojewon.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a0466901-0210-4193-bd2c-e6f6c2e6ec8e/gojojafefamobutiwapi.pdfIn PDF document text
    • https://pewivawo.files.wordpress.com/2020/11/jubozuwirarubuxaw.pdfIn PDF document text
    • https://xanafegeze.files.wordpress.com/2020/11/polukagu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1002eb2a-df5e-478a-912f-d2fafab84d2e/tilowiravolureb.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bf632c3e-a2ce-4dd0-a0fa-657aefe274cc/41823681729.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cc326169-ba87-4f0d-8a9f-308726fbdc8e/lol_doll_confetti_pop_checklist.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/836f53b7-5dae-4679-b7e9-8ddac98be96d/94947775464.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4f1aeb4e-cf0a-4661-a3a7-c6b16a5c1b8e/72043232943.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.

FilenameKindSourceSize
font_00_sfnt_off00006d76.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6D76 5272 bytes
SHA-256: b603098044d1fd068dc642d0d6bb6d9989aa6090c56fbc649d2351c6b26ac3de
font_01_sfnt_off00007f1f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7F1F 10132 bytes
SHA-256: c2e95ce26d7c3ccc10cce96e709b3b5ec400f826e928e15032f16817852dfda5
font_02_sfnt_off0000a17b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA17B 4324 bytes
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3