Malicious PDF — malware analysis report

Static analysis result for SHA-256 e5e94230444319f6…

MALICIOUS

PDF

45.7 KB Created: 2020-10-25 15:53:49 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: bcdcad7f1c2b12575076ed4cab15b95d SHA-1: 31a228429f0520dde7cc4848d7c95b4ec2c9073a SHA-256: e5e94230444319f6ea024729b6fb1a32ccd9f572f7edd3704182f2037397be4a
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://cctraff.ru/123?keyword=medical+leave+form+pdf+tamilnadu In PDF document text
    • https://cdn-cms.f-static.net/uploads/4376127/normal_5f8fccab3828d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387807/normal_5f93c0ca5b8be.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368235/normal_5f947b9e608f5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369782/normal_5f8ffced4987b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369916/normal_5f8818f94949c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365619/normal_5f8d862e3aa51.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000071d8.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000071d8.bin)
    • https://uploads.strikinglycdn.com/files/18622fec-6f9b-427f-9f20-9ee707442838/60215254356.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/872c7021-aeec-4d91-aeb2-16e9cd87f3b8/paint_tool_sai_portable.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d20e2c30-2962-45ff-ab4d-82e0a00a048d/transmutation_circle_wallpaper.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/41cda43a-cce4-4482-9985-044b6a655bae/senuduza.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4849da4b-3c35-424f-8038-241f43999499/66453916661.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/95015b94-4c06-4b5b-8087-97dd0696e1e7/dm_guide_5e.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/595a011c-4bdb-4742-a8b8-dbd2923f4c05/zenevi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/91242877-c154-4fae-ac4f-03ead77fd194/65905736540.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7c959269-0f36-4a07-aded-32550180dc06/gulojulakorafijo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0ee760d3-fcd3-432e-9784-169282b72a03/28122295830.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5757/2761/files/gosemixakajodobed.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/2931/8813/files/25748707835.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0268/8571/8189/files/nunanakuja.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 extracted file (font_00_sfnt_off000071d8.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000071d8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x71D8 5188 bytes
SHA-256: d9e659ecc692ecf6560d3ffc2e961c718a339478ebe1e619d4960ee188779c40
font_01_sfnt_off00008373.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8373 11084 bytes
SHA-256: b4e375b90f83fd08e7a5f0be029708a2e1995d9f626f2ba1297b249c469e6f36