Malicious PDF — malware analysis report

Static analysis result for SHA-256 619754d36d43368b…

MALICIOUS

PDF

40.0 KB Created: 2020-10-26 01:51:13 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: d205a62bd9746cda8d93c4318b8bb051 SHA-1: 85ab29b208c4c5b5e84a9d728a81bcea961a578c SHA-256: 619754d36d43368bcff0fc20e7f7c8e70015e5ff812c58e9b0615dfd188f7139
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://ggtraff.ru/aws?keyword=public+policy+development+process+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4378167/normal_5f915a16c8f80.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4413346/normal_5f952e51858f7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367622/normal_5f94f8ebc7b56.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4384655/normal_5f8eb76683737.pdfIn PDF document text
    • https://zoxuzuxebexot.weebly.com/uploads/1/3/0/9/130969059/3532345.pdfIn PDF document text
    • https://wugovokida.weebly.com/uploads/1/3/4/3/134319073/31b6bd33538d2f.pdfIn PDF document text
    • https://mojivimimujovo.weebly.com/uploads/1/3/0/8/130874437/3006570.pdfIn PDF document text
    • https://gokipeko.weebly.com/uploads/1/3/4/3/134351508/5a5cfd79383f5d6.pdfIn PDF document text
    • https://tatunonomufobuf.weebly.com/uploads/1/3/4/3/134355176/tupek.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/xeroguru/air_pollution_images.pdfIn PDF document text
    • https://s3.amazonaws.com/ruzaganog/wuwabikoruzuveno.pdfIn PDF document text
    • https://s3.amazonaws.com/lezopobigeza/3585714818.pdfIn PDF document text
    • https://s3.amazonaws.com/wixanarer/33621301779.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/2789/0844/files/bandera_de_dubai_en_whatsapp.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/7865/7203/files/snhu_term_dates_2018.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/7756/7132/files/time_widget_apps_for_android.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/3302/0584/files/30337711578.pdfIn PDF document text
    • https://s3.amazonaws.com/remeranexe/the_little_book_of_big_data_download.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/35720760382.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/6754/7041/files/vpn_inf_2020_apk_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0495/6864/5272/files/pewafu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0478/1791/6575/files/7223594527.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_off00005d97.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5D97 5392 bytes
SHA-256: 9867bc3b43e5728bd01661636683db1ac2832d2ebc7bdd6a8a9578088091b432
font_01_sfnt_off00006fd7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6FD7 10088 bytes
SHA-256: 4adfe3d791a2d6a78ec640f002cccfea635efdd62dfd1bf89a4bb3fdeab1a37b