Malicious PDF — malware analysis report

Static analysis result for SHA-256 7d7fcbf7655f6614…

MALICIOUS

PDF

47.1 KB Created: 2020-10-17 18:14:20 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: ebc3f0c05c75727e92af3b1e9ad29c8a SHA-1: bcc97c1a3cb1c1c8bbc500119124ff7c792e11d2 SHA-256: 7d7fcbf7655f6614312923ba9549974d8b31ebd750e20038660449b98d6f38cd
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=unisa+online+application+2020+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4380403/normal_5f8ab2cd80a22.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369191/normal_5f89f95fe1c00.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366995/normal_5f8a012ca6031.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369796/normal_5f88411163a3f.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://cdn.shopify.com/s/files/1/0480/9680/5028/files/pursteam_steam_cleaner_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/2644/8023/files/common_core_algebra_2_unit_11_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/1512/5662/files/best_android_app_for_whatsapp_status_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/6093/1991/files/football_manager_mobile_2020_apk_ios.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/4446/0951/files/gibokuguxolixisawelaj.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/5135/9642/files/10054799123.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1ce9a155-be28-4a7d-85f1-ed9b774f7b78/wogikuju.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f77a98d5-4286-421d-8253-98a13fafdd05/tewutapo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3ed1242f-6866-4bab-8700-81e98c3d638f/gavadurovikuv.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/dbbd75f0-987f-411c-bef0-f619334ef96a/pilezepufiriwopilusan.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/2661/1357/files/lekesija.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/3542/1593/files/box_and_whisker_plot_answer_key_sheet_1.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/6629/0076/files/amtrak_hiawatha_schedule.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/9664/4016/files/android_sdk_tools_for_unity.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/4153/3347/files/39363777015.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_off00006cce.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6CCE 5104 bytes
SHA-256: 58a90b62bc5c8060d1b95cff89ef68995eab057a3a49f12f35e051b1bf1529db
font_01_sfnt_off00007e39.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7E39 10060 bytes
SHA-256: d32cd9415e1723149f868787f0313bc6cb8ead513571bb12a6273e6669a72e04
font_02_sfnt_off0000a0b3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA0B3 4324 bytes
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c