Malicious PDF — malware analysis report

Static analysis result for SHA-256 df40667d581aa53d…

MALICIOUS

PDF

41.1 KB Created: 2020-10-12 08:49:20 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: caf3045cdf0af5d74e796ea5324cfd95 SHA-1: b242ab6aa9f86e363de1ec98243fe9b86e8fb821 SHA-256: df40667d581aa53d21816f5b46ada8945b74538315c2d117721070a8664d91ce
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=one+syllable+adjectives In PDF document text
    • http://zilevoral.citizensforcappleman.com/uploads/1/3/1/4/131408024/5711715.pdfIn PDF document text
    • http://files.lifemissionmanteca.org/uploads/1/3/0/7/130775825/jiwokejali-nutaxipobo.pdfIn PDF document text
    • http://files.floorclaimsolutions.com/uploads/1/3/0/9/130969237/7690048.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/f95baa19-3158-499d-8343-13bb021083e6/35861051529.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ac3f9f6c-ed74-4a47-b1ef-d4333a4207b6/37983330202.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/909c674f-f7c5-435d-831f-e73e0e56d966/jolonadosubifiv.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b512bab1-f97e-444c-9a2d-f1e6d3b3c757/nujudoxudus.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/32c0ca55-5559-415a-bad4-cb890987bb28/mifepajaserevomuvedega.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8793/0562/files/zusumusuzo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/5148/5850/files/nilagotepumovukixa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/4417/0649/files/fozizobufej.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/5397/2630/files/the_cardiovascular_system_crossword_puzzle_answers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7d49d5f5-04f9-4217-a4fd-614339c12de1/23844602638.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/40db503f-2163-426d-a65d-933a0192d096/vitejexonebuxavepo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c9ccb31a-adcc-49a4-919b-24ffeef7c759/10956076971.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_off00005c61.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5C61 5240 bytes
SHA-256: dc347039a5176b9636a8d18f26d4aec74ab5f7a46702ba0d12dc651e203b745f
font_01_sfnt_off00006e51.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6E51 13060 bytes
SHA-256: 983f31f3d90f90e0d2e17b3e68f817df3d169d2f6fad4e363e326a4b32d00ec9

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