Malicious PDF — malware analysis report

Static analysis result for SHA-256 896ffdd399a8601c…

MALICIOUS

PDF

40.8 KB Created: 2020-10-28 11:55:26 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 11232d41b723c3481490557a22d0cd74 SHA-1: ddaa0b98aeae321c4cf55c1cab49d0e76de2bc84 SHA-256: 896ffdd399a8601c1b8ec580227517d0b9a2e2e9d40753cd11e0d60534c99711
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/aws?keyword=batting+cages+houston+reddit In PDF document text
    • https://cdn-cms.f-static.net/uploads/4365639/normal_5f8a3d912e7ae.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00004afe.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00004afe.bin)
    • https://uploads.strikinglycdn.com/files/69c37d52-98a9-4978-ae04-9ee7b1174e02/32912888803.pdfIn PDF document text
    • https://s3.amazonaws.com/zategafozasiru/puwabedofomalotasirubu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fe18650f-ddbc-467e-9c39-8fafedbe0873/jipedomuzufufuvomim.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3d11e5ef-1b6a-47f4-8b1f-52f9cd7e2caa/nasuterawe.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6e40cadf-569f-4b66-9840-202716f7c8a2/varover.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/290ec7ba-4e66-4860-a3c8-5c75318b7b49/gelewov.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6f5186e0-5edc-442c-acf1-574630799971/mma_training_program_reddit.pdfIn PDF document text
    • https://s3.amazonaws.com/dixaleko/coursera_learning_how_to_learn.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/da46b243-c480-46d3-8fa7-6d88d9322505/47297264514.pdfIn PDF document text
    • https://s3.amazonaws.com/buganabowumujef/bachon_k_islami_naam.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/8217/8979/files/98741567067.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/8335/0687/files/lane_county_parks_list.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/77319ddc-c67c-4c56-b23c-45ed32ae017d/wotoxesesolilu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/28d6da60-bff2-4c4e-825a-f741e5b2f3de/9053731008.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_off00004afe.bin)
    • http://dejavu.sourceforge.netIn extracted file (font_02_sfnt_off00007fbd.bin)
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn extracted file (font_02_sfnt_off00007fbd.bin)

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00004afe.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4AFE 5216 bytes
SHA-256: 90b1d688d112f15c4da578990ac78bf4d6ac0d7fa418554455aef9fcbd7ca2d6
font_01_sfnt_off00005cb5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5CB5 10164 bytes
SHA-256: b1b53ffd81dbf1228015c8b6f572a56c6cce3cd18ea86954a90cab606c805501
font_02_sfnt_off00007fbd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7FBD 16544 bytes
SHA-256: 1b44218257806f750c7fedc2cca84b6b30ff477c2da870f9e14c0541087d9c9f