Malicious PDF — malware analysis report

Static analysis result for SHA-256 122c8e5d07cbe09e…

MALICIOUS

PDF

40.4 KB Created: 2020-08-02 07:41:18 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-07
MD5: 0cbb9d0c7ce966393ef873d43e5bff31 SHA-1: 48e625b879b2825d50d7fbb3eef4e5572ba607a0 SHA-256: 122c8e5d07cbe09e3869f9b6fc3d21e68721bb499aa9ab16d4b094763eba0aaa
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains numerous embedded links, many pointing to redirector infrastructure like 'ttraff.cc', which is flagged as malicious. The document body, though obfuscated, contains the lure 'Brooklyn 99 torrent' and the malicious redirector URL. This suggests a phishing or malware distribution attempt disguised as a download link.

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.cc/pify?keyword=brooklyn+99+torrent In PDF document text
    • http://files.hokansonscustomrods.com/uploads/1/3/1/1/131164011/febujod-setesupe-barasamojisebom-xagepomuzom.pdfIn PDF document text
    • http://files.lifeofastreetdog.com/uploads/1/3/0/7/130740011/8496827.pdfIn PDF document text
    • http://files.viridesscents.com/uploads/1/3/2/7/132712483/biwuvoxi.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/1/0428/9835/8432/files/tizerosotusalasebix.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/3391/8616/files/35095214854.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/9243/4326/files/ginudogaludelidisawawi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/1531/5351/files/xisimulisudo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/2218/8701/files/30472804843.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/2873/3352/files/66595688023.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/0005/3408/files/79949811232.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/7994/9718/files/97191955911.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/9618/7815/files/largest_cities_in_us.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1740/3559/files/3388535792.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/0733/6857/files/85069914517.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/9567/8357/files/55719623774.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/7555/9829/files/74133443482.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/7386/3842/files/41927228069.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_off00005f87.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5F87 4660 bytes
SHA-256: f620b615fb5946ff57a0fcf9891275551f2657346d9722993af7788e27802340
font_01_sfnt_off00006f84.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6F84 11056 bytes
SHA-256: 575ec597daf70bca4112ea4aad9feb713ce16e4b3e4885192938d4e23190292b