Malicious PDF — malware analysis report

Static analysis result for SHA-256 a9523e1869886694…

MALICIOUS

PDF

43.3 KB Created: 2020-10-26 06:10:01 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-25
MD5: cdab5da8b12503117d3fec940c974153 SHA-1: 869fa881789dd02c16d2f0462cbbfe5ce0d8a00a SHA-256: a9523e1869886694185d581206f1162bcb4e14d43b3491da77b748801168abe6
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://cctraff.ru/aws?keyword=academic+planner+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4383688/normal_5f964182f0f11.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366029/normal_5f86fc2bef46f.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/zetare/10186662745.pdfIn PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/mutexojemul.pdfIn PDF document text
    • https://s3.amazonaws.com/sajatesawodiji/jagipuzifuwipegafesav.pdfIn PDF document text
    • https://s3.amazonaws.com/wikurixobelu/77486441644.pdfIn PDF document text
    • https://s3.amazonaws.com/wopari/tisaxenusujuvoxozifex.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/3146/1016/files/15108280511.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0488/0623/2229/files/7789023970.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/3723/7146/files/dukozusitofiwezetabube.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/411b8094-cdd3-4692-b9c5-df23eb5b6154/36273220251.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4e06f9ed-fdfe-466e-ab59-c44057ff1112/ruteropisipozupowijuxop.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4052b311-cb08-43ec-bf8c-634a2edf70ca/fountas_and_pinnell_guided_reading_level_book_list.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bb969aa1-6eb0-4f5d-89d6-1fdc50168a57/vuxefuzasizazeworoze.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/7471/4784/files/special_forces_hand_to_hand_combat_training.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/1879/2345/files/bodybuilder_hd_wallpaper_for_android.pdfIn PDF document text
    • https://s3.amazonaws.com/pisik/explain_beer_lambert_law.pdfIn PDF document text
    • https://s3.amazonaws.com/susonanezaj/luxiximenobezabak.pdfIn PDF document text
    • https://s3.amazonaws.com/fosalizuzu/e_h_coriolis_flow_meter.pdfIn PDF document text
    • https://s3.amazonaws.com/tokafanawa/calendario_lunar_2018_peru.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_off00006b64.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B64 5112 bytes
SHA-256: 7978dce50d82ef20fe6acbc7b34195424ab2aad60957fb9a88c47921f247c7a2
font_01_sfnt_off00007ca7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7CA7 10440 bytes
SHA-256: b228c77f0efa27267c23b6b7ada44a6728224dcd895ddaf21390847da2d6e164