Malicious PDF — malware analysis report

Static analysis result for SHA-256 99244f27f138f17e…

MALICIOUS

PDF

67.5 KB Created: 2020-11-06 16:27:11 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-23
MD5: fd2e516094929882029822393adf475d SHA-1: ddd54b68d2bb97656da0668ba7eaaf1e53927462 SHA-256: 99244f27f138f17ec9581b4d8463bbc0c6c607c911df7f34a5c86945a131a137
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://traffine.ru/123?keyword=antique+philippines+logo In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366369/normal_5f8765692dbf1.pdfIn PDF document text
    • https://vimiwegom.weebly.com/uploads/1/3/0/7/130775837/botegirur-japudu-sunimotemenatop-bovotisukusetof.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/bec3acce-47e6-489b-ac68-5f2da9e5a66f/worubebutawufaxumonexoxu.pdfIn PDF document text
    • https://disabuwipe.files.wordpress.com/2020/11/73585551371.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5e8f998a-7889-477a-914e-4e18fea9eee8/82569855068.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/468d9514-919a-424d-8951-ecb729f7fb42/33445858741.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ee49a774-d9f8-48d5-bf34-a2755fbff725/9331543117.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ae4e805b-ad29-4cdd-9b3c-db3595143193/xilevemik.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4f79e23b-55a1-4d60-91d3-a2102f3dd83d/myers_exploring_psychology_for_ap.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/20d20625-46f6-480f-8309-c509bc4c2146/warframe_riven_mod_aufgaben.pdfIn PDF document text
    • https://rotadenig.files.wordpress.com/2020/11/82236523173.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bf646ba5-3a8a-47a5-b606-476602f47f0d/losixere.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/175911e3-6454-492a-bf96-104e14b3ebe9/jupajumefofuzupijajev.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6e62e363-e464-45f8-bd2c-b591e307227d/81565376167.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.

FilenameKindSourceSize
font_00_sfnt_off0000c4fe.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC4FE 4892 bytes
SHA-256: a3d58120d595b1deaab30b591a0889c43804b4e8514a7ec2a98ea123784ec61b
font_01_sfnt_off0000d5a8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD5A8 13500 bytes
SHA-256: 6510d9c7e7de4adc3f5ef9d61a3a5e0d0fec2b17f74aea5f625414c5e037de5d

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