Malicious PDF — malware analysis report

Static analysis result for SHA-256 8a25efd27c2586a0…

MALICIOUS

PDF

54.5 KB Created: 2020-10-28 00:40:00 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: d618ca3128496d4c75893ddd3dc66396 SHA-1: 3ba6a798e21128cf58b5b143cb247864188d2e22 SHA-256: 8a25efd27c2586a01980ff63e9a556c3b6a4007b9f8af300c1a58300f8607ef8
134 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a link disguised as a search result for 'Warframe fragments gas city', which points to a known malicious redirector. This indicates a phishing or malware distribution attempt. The ML classifier also strongly flagged this PDF as malicious, supporting the assessment of a malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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/strik?keyword=warframe+fragments+gas+city In PDF document text
    • https://cdn-cms.f-static.net/uploads/4419826/normal_5f985141af080.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383794/normal_5f8d12b78424f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4381762/normal_5f91514f82323.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4381085/normal_5f8f71640cf7a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369190/normal_5f8a50197b276.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4386337/normal_5f8d8e3858361.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/065cf248-9ccb-43b8-9abe-783b2de3fa42/85757695197.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7136f876-d630-4315-b48c-da18e35b7b9f/vikizutada.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6d14a675-aed3-4ad1-979d-1f7323b46494/24389509326.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/72840bbf-46cf-4dae-8bf7-b6179a0c6072/zumowevatorofufufebub.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/spatial_point_pattern_analysis.pdfIn PDF document text
    • https://s3.amazonaws.com/bejideba/arrestador_de_flama.pdfIn PDF document text
    • https://s3.amazonaws.com/zepifudoxapo/blomberg_washing_machine_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/6297/6921/files/ada_dental_code_for_valplast_partial.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/0039/2603/files/jidazasola.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/6788/2134/files/praxis_ii_professional_school_counselor_5421_exam_secrets_study_guide.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/3540/8576/files/teaching_strategies_for_gifted_students.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
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00007552.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7552 3236 bytes
SHA-256: 170efc478349fbb2ae2c2f244624e0b788552f63c42d120cfc44b21bad89cf1f
font_01_sfnt_off00008106.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8106 5284 bytes
SHA-256: 0e5919ce65f1089013da3440cf269620737a311b1dfecdf40b82dc39631a6a39
font_02_sfnt_off000092fb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x92FB 10564 bytes
SHA-256: e50872d073825aa312a24e74772531cdd4fb4dce223902e40af3c84b23bb751c
font_03_sfnt_off0000b761.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB761 16060 bytes
SHA-256: 1a51fac5cecc05d5f0a5d3b698ffe240ccab470cdba6a823ba27c6c2a12c20dd