Malicious PDF — malware analysis report

Static analysis result for SHA-256 c03b053d35454e7a…

MALICIOUS

PDF

49.4 KB Created: 2020-10-26 00:35:26 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: 9d35377243f37b386f523a85ebf3bcdc SHA-1: cc8e574c017b56b45e727020cf642ff57a1c7a63 SHA-256: c03b053d35454e7a7413d9415a5b13b3f8eae32afc3b3370abb676f730b5de17
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.club/123?keyword=management+study+guide+communication+barriers In PDF document text
    • https://cdn-cms.f-static.net/uploads/4367912/normal_5f87737363991.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368474/normal_5f8783900ef9a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366987/normal_5f89149865604.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4377101/normal_5f8d61e58068c.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/senodiw/2443521904.pdfIn PDF document text
    • https://s3.amazonaws.com/fasanag/61162502025.pdfIn PDF document text
    • https://s3.amazonaws.com/purixifusipelid/engineering_drawing_beginners.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/351d8129-a3ce-486e-bc92-be6978273e91/red_velvet_russian_roulette_mp3_320kbps.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0eebc6fc-f67d-4e7f-8380-16b64f5d5b89/muvewumobofozetidubosar.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2343cf57-b566-40b9-b0d9-b895da73a578/xuvamisupaladezamoteb.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bf4e21c0-2eb2-47c0-8b07-72109ce91a7f/mevekuverojidezifomu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/7888/4759/files/80872345069.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/6504/8733/files/diction_examples_in_hamlet.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/0053/6986/files/32_lbs_to_kg_formula.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/7122/5502/files/5833241545.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ca6b61ea-8fa6-4896-8e60-261909b86afe/defatoginarobameduz.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0d8c18bd-f29a-4e05-aa08-88aea3be09cb/93105867631.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3ca289d9-bad3-4d18-8ae3-655ba642abec/64152254619.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9df1b9d6-b72e-4c7c-b801-64274f6adc29/demebonomasosisaxobojuwub.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b1f730f8-4652-48d7-9bd4-4c6cd040101f/76646467910.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_off00007499.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7499 5356 bytes
SHA-256: e80415506f4e9ea132eb82b690f5309c5e5fd95d63d2cfc3e510ddf87147ac07
font_01_sfnt_off000086b9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x86B9 10376 bytes
SHA-256: fc0037d8107ec047ae5c559b82cdb36b84efc83ac2eadfc841395a6eaa1dac07
font_02_sfnt_off0000a951.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA951 4324 bytes
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176

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