Malicious PDF — malware analysis report

Static analysis result for SHA-256 d8e9853199b32541…

MALICIOUS

PDF

34.9 KB Created: 2020-10-06 10:39:36 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-19
MD5: 80a8d1cf25ddd0251c3b84299128818e SHA-1: 167c4416b676f8a90d7e27219e76d8242961ca70 SHA-256: d8e9853199b32541ef951967d3b15f79e56f7ff1e5f13bf0a338f3c844215ea3
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/strik?keyword=oregon+driver+risk+prevention+curriculum+playbook In PDF document text
    • http://nibif.beyondtolerancewichita.org/uploads/1/3/2/7/132740850/8699175.pdfIn PDF document text
    • http://nafazo.charmed-liebling.com/uploads/1/3/1/3/131384306/1179549.pdfIn PDF document text
    • http://files.jrrobsonathletics.com/uploads/1/3/2/6/132695829/8772780.pdfIn PDF document text
    • http://files.drjudyclyman.com/uploads/1/3/2/6/132695306/zojowiwirat_zuderane_wowiramijupudo_ritujupozaju.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/d3bcdc87-3549-41bb-bd49-2528003c0c8e/japujesumanebatodov.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b96a2058-0a86-4724-81a3-5f8a85d80a11/xikilotimasogigupu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1ad96cb6-5d55-4a06-96f7-c35c8fefb561/lonovibiwatumuke.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/68634009-d22d-44c0-8967-fd0cfa31fcf9/vomoliridajoloxa.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/704c83f4-a5b2-446a-8b1d-4200ed457494/zuvesovinadanunugovirofef.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/89376bc7-99d4-49df-ac5e-36c0f38c514c/witozolonufiramebakatopod.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b0ce55e9-c81f-4bf4-a1a0-4972c9a8fb0a/xabibopiki.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/eb3c918f-ac4c-4f91-9519-f70cdf58ce95/niwajebegus.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/eef760ba-482a-4dbe-aae6-4583f8eb768e/69776726931.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2a93b7b7-9231-4f63-8187-e70bf0894a16/dadokenutoxubafopuwopeniv.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/181033f7-a053-4142-b53d-3f6ea6de6042/72460359485.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_off000048c5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x48C5 5784 bytes
SHA-256: e02b283eb1a32a24c88dc745678060c537e1e09eef27ee5f35975f450e2fee2e
font_01_sfnt_off00005c6d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5C6D 9960 bytes
SHA-256: 9ac38e2f8a44cc2230eeb472f3a79dc638c1df26c9ffadd734e5eee27149d1da