Malicious PDF — malware analysis report

Static analysis result for SHA-256 358df4c87ac11bf8…

MALICIOUS

PDF

36.7 KB Created: 2020-10-08 23:30:23 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 6a754e84c362f9bcb472cccb62958686 SHA-1: 26c4f41a3f7e322f12d3ab5dbe0c127d489d98e1 SHA-256: 358df4c87ac11bf8b24dcedb5b6d0d3236d48a0a817ee9f819608d9cd00ccea6
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://gettraff.ru/strik?keyword=sideline+story+album+download+zip In PDF document text
    • http://files.gatewayonline.org/uploads/1/3/2/8/132814146/nuzewotarorinix-wimemobogu-vogepalon.pdfIn PDF document text
    • http://tekopade.veneficaclothing.com/uploads/1/3/0/8/130814297/beb2f42.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/a5a8f2f5-f95a-4c90-8746-e1c3944e9289/savofirolumilerafetozo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ee399c7e-0a33-4b3e-9508-b16587daa7ec/zuvow.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f93e824f-4bad-4bd1-afe2-4ab698968553/wevupikuxolozete.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3db8d6d2-a60a-47ae-a1e7-a518b190747f/puboletazabofivokela.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/727adafc-7e8c-46cb-9a2d-14e80089a0b7/60892026493.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/7736/4637/files/usa_sex_guide_lexington_ky.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/9275/3049/files/jofupogopanomajabun.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/2689/8344/files/jewijela.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0480/8337/0148/files/atf_form_5320.23.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/1282/4993/files/bumblebee_rwby_song.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a3f2258b-97e8-4b8b-ae5d-a23a8c64ccdd/82325882559.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/96ad23b9-b0c6-449e-86f2-0b9d5b7e9c88/bejasefajakexofipeme.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/38ce5c48-a411-4065-ba0f-d3d673c6caf9/89491019314.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/adfe9144-776b-4d50-a1ec-dc3f882d0e26/veduwixazedudonij.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_off00004ed8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4ED8 5592 bytes
SHA-256: 6a149c5edf4f799df964371ec4f7d0f26eaaead56b4fbb707a578ea70c788399
font_01_sfnt_off000061da.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x61DA 10700 bytes
SHA-256: 04dd4c10b3514541877a5829737a472a04e9f63e3cf1e8264bb0f3e827fbef45

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