Malicious PDF — malware analysis report

Static analysis result for SHA-256 bee85bf6075677b5…

MALICIOUS

PDF

52.8 KB Created: 2020-10-28 18:23:39 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: a9d17b0e08e268c9c8e81fe363de6db0 SHA-1: 9555c50febb9d81e0ecfd1d635fd45f837194d62 SHA-256: bee85bf6075677b550ccff1e39f40594b7c7979780c5414a6fa72f7f3b26a355
184 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.
  • Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • 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://cctraff.ru/aws?keyword=las+meninas+velazquez+analysis In PDF document text
    • https://cdn-cms.f-static.net/uploads/4387924/normal_5f8cfc9dd31d6.pdfIn PDF document text
    • https://merasewutid.weebly.com/uploads/1/3/4/3/134348660/dolarefetif_wopogiwosoji_gonexefiv_kabogedej.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374537/normal_5f8ed570de0c2.pdfIn PDF document text
    • https://lewejasolon.weebly.com/uploads/1/3/1/4/131437246/wuvubapufamik.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4379736/normal_5f8aa968676b5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369788/normal_5f89f646d1410.pdfIn PDF document text
    • https://satobolusiv.weebly.com/uploads/1/3/1/3/131398412/negebojop.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4384320/normal_5f8fd7c276e49.pdfIn PDF document text
    • https://lefedatit.weebly.com/uploads/1/3/0/7/130776734/riwigenamajone_mevot_nusuv_xapig.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373519/normal_5f8caba4be135.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/1/0481/4500/6743/files/faxarogedawolakati.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/basic_principles_of_accounting.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8929/2184/files/xejasefekud.pdfIn PDF document text
    • https://s3.amazonaws.com/nimuwet/33761589107.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0e351dce-e5f3-4804-af4d-c994b24f4537/22647870677.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files/59780236626.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/3164/9689/files/58317666185.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4362a6af-4cb4-48d8-964a-a8d5da851b7d/papikagobowuginasaned.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/7527/2855/files/leneno.pdfIn PDF document text
    • https://s3.amazonaws.com/ronatiduzoxij/zitaliketovagolokavojuni.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_off00008daf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8DAF 5016 bytes
SHA-256: bfd1b94098064b427c3ae2761094b5304e73d250b6f6350ee5c8db9d06918910
font_01_sfnt_off00009ecb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9ECB 11520 bytes
SHA-256: de3be137f372c149b6522c390c77a280a0ef9ba8308c0b36c7713c4daf85cdb1