Malicious PDF — malware analysis report

Static analysis result for SHA-256 cd6cd88abe66a747…

MALICIOUS

PDF

46.4 KB Created: 2020-10-12 08:42:01 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-19
MD5: 159699874c14bee92b980f3c33229fa4 SHA-1: f76a4d1b8cb65444dff250ff8584f696deb93e46 SHA-256: cd6cd88abe66a7473fbb4652b3db7716df6f22f3a9e527d28233e9eaf5925467
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/pify?keyword=fischer+esterification+mechanism+explained In PDF document text
    • http://ginusu.aspie.com/uploads/1/3/1/1/131164246/4497091.pdfIn PDF document text
    • http://files.saltwaterstudios.co.uk/uploads/1/3/0/7/130776272/maxizidurolokow_jemus.pdfIn PDF document text
    • http://files.koivujatahtipaivat.com/uploads/1/3/1/8/131871614/xalulebufit_wukaxawe_tabugamabojor.pdfIn PDF document text
    • https:///en.wikipedia.org/w/index.php?title-Fischer-Speier_esterification-oldid-980583281In 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/ec9179b3-3643-4d5c-b2b3-410c880280be/90659810236.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2dfe4aae-4796-49de-b9f9-1cb6048466c1/22253217366.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e3a9b346-4aff-49ae-aed8-1e8b2aa3d0ab/83665125793.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c8c98e56-79ed-4c5a-b269-80eb887297b1/dezipik.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0904974c-96b9-41a0-9f88-c67f4d21a765/mujadedavitavumodab.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ee20d70e-f31b-423a-b493-84a7c3e95361/59362779478.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/944c811b-dee0-459e-9811-13552914ef1c/luzidowodenufapigamozu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1caa919b-6715-4db7-a359-72d99b33e3d9/resobaniwi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ee654e7a-666c-40ec-a4c9-f8b5c33e35a1/jetaf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/4391/2856/files/adb_install_apk_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/9703/3366/files/us_ammonia_pipeline_map.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/3753/5655/files/calling_things_that_are_not_as_if_they_are.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_off00007647.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7647 5416 bytes
SHA-256: 85f56d6d28b989ab703a0041b30bd76a297d6a05c8683d1ecf706dcf546e78fc
font_01_sfnt_off00008881.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8881 10652 bytes
SHA-256: fd054789e3273d64a0c30640a5b9e6be9a34612cc4e9554438910d6faff88b91