Malicious PDF — malware analysis report

Static analysis result for SHA-256 c65856e6657bd084…

MALICIOUS

PDF

44.6 KB Created: 2020-10-18 00:16:34 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: ce1bb6d71f305ca419fd9eaa5f53722b SHA-1: e92ad8ce755918df05c24caa7086e2a68aa93ff8 SHA-256: c65856e6657bd0849296e7e186d2db952bab755d5de19b3bb5f7d65828c116bd
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/123?keyword=free+printable+rental+application+pdf In PDF document text
    • https://jukafubu.weebly.com/uploads/1/3/0/8/130874261/jagufarepa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375541/normal_5f89e65e29926.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368466/normal_5f89c0cd5b7ac.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4371806/normal_5f8ac1fd4921a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370288/normal_5f88eed07f439.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365551/normal_5f875429b2934.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/3109e036-f037-47b9-aa76-d2624d66a055/77782617208.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b5d1a3b1-7b6c-4877-b767-b1d6f56953fd/21249681373.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c18e7de0-27e5-441c-be36-279e8c452d3f/73669791324.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/2945/8852/files/sejowufekezipebogawovej.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/6050/1921/files/fivoxajewipe.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/3897/3345/files/lomajosefejowuvirirolu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0478/9721/5143/files/23599971650.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b6a17b55-19b7-480a-82c3-944009a7b877/6044613306.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/517cb2b5-c8f7-4c34-9588-62971de691a6/73821324378.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/74a5016d-e297-41fd-a01a-d2d974f43a47/sixumidaja.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e6e00271-8ba2-48da-b45c-a9184273f110/xakakosifebesezir.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ac735fc8-87b6-4b17-84bf-1b8d579f7c3b/curly_girl_method_dandruff.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_off00007058.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7058 5068 bytes
SHA-256: 70b537aa9d71fe3a376288d08edd81721182385a8af2d7ea8809b7b25d1fc5ec
font_01_sfnt_off00008192.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8192 10304 bytes
SHA-256: 6360274ffb9cdf93bb15fe684b4963b12f00cd5b9b2f9179541341f2856c92ff

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