Malicious PDF — malware analysis report

Static analysis result for SHA-256 9e33e402cf543dbe…

MALICIOUS

PDF

37.4 KB Created: 2020-11-06 18:55:31 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: c97e92de204987229df2e8b43fed6141 SHA-1: 292d6b23fe5b8a7b06b3bc1380ba5cc7be67e238 SHA-256: 9e33e402cf543dbe21affbd705e1bb2e56cdd3fbcbf241a3d346e3db54cf60b5
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://traffking.ru/aws?keyword=harvard+metra+schedule In PDF document text
    • https://cdn-cms.f-static.net/uploads/4391015/normal_5fa28cd33c758.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365536/normal_5f8d05635640a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373986/normal_5f90729a2d52f.pdfIn PDF document text
    • https://xekigugoraka.weebly.com/uploads/1/3/4/4/134434326/giwufiliteniliz.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://s3.amazonaws.com/tekujel/47283863851.pdfIn PDF document text
    • https://s3.amazonaws.com/paxivogedewilu/chocobo_breeding_ffxiv.pdfIn PDF document text
    • https://s3.amazonaws.com/remuv/66776451801.pdfIn PDF document text
    • https://vabavoresadi.files.wordpress.com/2020/11/debewasomogoro.pdfIn PDF document text
    • https://s3.amazonaws.com/varoximu/brand_value_vs_brand_equity.pdfIn PDF document text
    • https://s3.amazonaws.com/vitelitubovuluj/92347430150.pdfIn PDF document text
    • https://fizafadolozu.files.wordpress.com/2020/11/31713389540.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000047c3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x47C3 4816 bytes
SHA-256: 3fe9e11dbaffc2df5497bd120be0ab079856f5aaab00e8ec8183589e543d298a
font_01_sfnt_off0000581b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x581B 10204 bytes
SHA-256: 36d35b999a3188508b6bdb8b59e5fc6e498cfa14ef7210ce55fc96dc77ab1b46
font_02_sfnt_off00007b10.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7B10 4324 bytes
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34