Malicious PDF — malware analysis report

Static analysis result for SHA-256 052c6f46cd76e955…

MALICIOUS

PDF

46.5 KB Created: 2020-10-29 07:39:03 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-03-01
MD5: 28b932c3c5c075f07e6cc470f6a6c3ad SHA-1: cbe93cfd42913af5549ed4cc0c35a102f1c688b2 SHA-256: 052c6f46cd76e955ee459732788185b9aecb6fce78eae78be6b6cdf44d3939c4
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://ttraff.me/123?keyword=serrano+pepper+vs+habanero+scoville In PDF document text
    • https://jovikuveditowe.weebly.com/uploads/1/3/0/8/130874612/df25c7a4b388f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4377371/normal_5f9a194458b5f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4408187/normal_5f96099da3461.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367950/normal_5f885a5ba9cdf.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4384028/normal_5f98fe4f1d0d0.pdfIn PDF document text
    • https://fidevawane.weebly.com/uploads/1/3/0/8/130814252/pitozekewebo-nanutamemepipa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367938/normal_5f88abae224b6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4386605/normal_5f90d3bacd956.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366319/normal_5f87811f67004.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4408172/normal_5f935def507dc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4388285/normal_5f92a4d95a3db.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366365/normal_5f98a605b4823.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369773/normal_5f8a1fef17e6b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4401519/normal_5f967713a6f51.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/6d209f30-ef61-4b6c-8eb5-130a6ec3b23c/40495087209.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ce7ae1a3-ac9c-4216-a858-582b2860a2c1/39354549566.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ac3681f8-857f-4bd8-a017-f928a6a6d8ac/munigaforix.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9d13182d-be43-43e5-ae24-e05d2173c59b/mazozazaduga.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/87177531-e185-46dd-8db0-7528389a7140/27362385463.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_off000077cc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77CC 5324 bytes
SHA-256: 3e5171310146fa24f9683e612e12fb60a0fa8dfaf27a3c0e09127353f2cd50d7
font_01_sfnt_off000089e1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x89E1 10452 bytes
SHA-256: a9a0ec59c4efa88975bda3add21f90acdec25c1fced3ec5ba765aa43c7c782f1

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