Malicious PDF — malware analysis report

Static analysis result for SHA-256 128c3c5a5ff10e56…

MALICIOUS

PDF

42.6 KB Created: 2020-10-09 13:16:21 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: 97781776ecbdf60a0c2cfe73639ff4b9 SHA-1: 34212469d6bbc5ec5fa0f898fdd4bbeda78f49d8 SHA-256: 128c3c5a5ff10e56a5c4b992f73cf88fb1a43ec15e57be647faca722bf4450d1
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/strik?keyword=troy+bilt+edger+attachment+manual In PDF document text
    • http://rumima.writerscircle.net/uploads/1/3/2/6/132695517/litotetazekuso.pdfIn PDF document text
    • http://files.pawsitivepupdogtraining.com/uploads/1/3/2/6/132681443/9834556.pdfIn PDF document text
    • http://files.dogfrom.com/uploads/1/3/0/8/130874612/60e793112e663.pdfIn PDF document text
    • http://xejitizun.merakiandcoffee.com/uploads/1/3/0/8/130814328/zolepojatifosonejuf.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/4053/6736/files/aztec_number_system_1-100.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/4475/6901/files/gretel_and_hansel_2020_netflix.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/2969/0530/files/the_giver_vocabulary.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0480/3133/4559/files/empty_dataframe_with_columns.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/0419/3691/files/slurpee_machine_instructions.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0485/7908/4448/files/fortnite_unblocked_games_333.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0a9100bb-3b96-4897-a31e-dfe901a880a8/nuxovadexuxumarape.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/255415ea-b89b-409f-b111-b1fe74b3e4a0/silebuzixadeterebizipofi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bf8a8528-0379-4b96-a7f6-65ab681357d6/sepireje.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c515776c-b3f9-425a-81de-71dc831742ed/37985067891.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4c43d9da-0d5e-4f57-94ef-115a21de2186/deselerusebafenijime.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_off00006896.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6896 5368 bytes
SHA-256: 49b65afac107a8bbc94f297922de8bd6f67bef6d7b13892846dadab3b5e62bfe
font_01_sfnt_off00007ab2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7AB2 10292 bytes
SHA-256: b10d7cdb3ac131a63103051a61404dc2c62c6b38716b1f013b9ec659ff7e5e88

Open this report in the interactive analyzer, or submit your own file for analysis.