Malicious PDF — malware analysis report

Static analysis result for SHA-256 62fc63b6a63ea98b…

MALICIOUS

PDF

41.5 KB Created: 2020-10-09 08:21:34 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: e7763beb3274a6ba3837b3c69d22ab1f SHA-1: d7463adb9d738db8cc9ca9265e5a784ed5a8c979 SHA-256: 62fc63b6a63ea98b5b47656b59ddd91c215950bf0d91ed9478a2c0a5c91be1c7
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://ggtraff.ru/pify?keyword=old+staten+island+maps In PDF document text
    • http://files.avidair.com/uploads/1/3/1/8/131857734/gajapoxejulozevojok.pdfIn PDF document text
    • http://files.scottkaplanphd.com/uploads/1/3/1/4/131483110/3705741.pdfIn PDF document text
    • http://files.southernnailexpo.com/uploads/1/3/0/7/130775862/kefuresumov.pdfIn PDF document text
    • http://pivovu.gordonstounartandphotography.com/uploads/1/3/0/7/130738948/mowazeworat.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/9818/6937/files/55059499014.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/4564/2663/files/agronomy_treatise.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/8855/2870/files/schwinn_discover_mens_hybrid_bike_walmart.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/6012/5080/files/net_interview_questions_shivprasad_koirala.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/9029/2125/files/shadowrun_returns_apk_reddit.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/946dbc34-65e7-4d70-a826-d562038e52db/41529680247.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8682d520-8a61-44ed-9518-69d3372eb12b/zefotosofexo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/46f5a6ed-daac-4027-9d6a-e858bf0785e3/69595033437.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/541a41cf-2dbc-4150-a805-1b7fa6e8ff7a/4421101687.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4b4f4268-1087-4d2c-8bab-fbf10158c221/sixitewodixenaxisevowe.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/4449/4760/files/usf_emergency_medicine_residency.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/2628/0348/files/wadowalisufegojonezamiked.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/9581/8404/files/cookie_clicker_unblocked_games_at_school.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_off000064b6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x64B6 5036 bytes
SHA-256: 388b46e4e8fcb77c22dc8b6b1a2d383441eff1f0afe41b392759a3a2ee22f4f8
font_01_sfnt_off000075c3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x75C3 10312 bytes
SHA-256: 1dabf2fd2323df172498dc7c50fc46e7f5aa71b56226f8929de584ae5cdaa890

Open this report in the interactive analyzer, or submit your own file for analysis.