Malicious PDF — malware analysis report

Static analysis result for SHA-256 a20e0bb95098eb0f…

MALICIOUS

PDF

46.9 KB Created: 2020-08-24 23:04:02 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: c99a9c6ca0b7b647faa92251cd7fc720 SHA-1: 5c4c85572d6103dc420202ee372e2ff0e9103d2f SHA-256: a20e0bb95098eb0fa7e4d5b90c381f98f4cbd667f25e1c789426559a9aaa7105
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a mass of external links, many hosted on Shopify, designed to appear as legitimate resources. One prominent link, disguised as an 'Azure blockchain tutorial pdf', redirects through 'ttraff.ru', a known malicious redirector. This indicates a phishing or scam attempt to lure users to malicious sites. The ML classifier strongly supports the malicious nature of this PDF.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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.ru/pify?keyword=azure+blockchain+tutorial+pdf
    • http://rujig.wackyworldparks.com/uploads/1/3/0/7/130775350/pavukava.pdf
    • https://cdn.shopify.com/s/files/1/0430/3332/9815/files/jatojoguluxawo.pdf
    • https://cdn.shopify.com/s/files/1/0429/2060/7900/files/duvinenekuxoworilotedevug.pdf
    • https://cdn.shopify.com/s/files/1/0435/7927/7467/files/koxeson.pdf
    • https://cdn.shopify.com/s/files/1/0429/0894/2499/files/15333723680.pdf
    • https://cdn.shopify.com/s/files/1/0431/3756/4823/files/have_got_worksheets_for_beginners.pdf
    • https://cdn.shopify.com/s/files/1/0429/9459/8047/files/xuxomokiralagoreboduroru.pdf
    • https://cdn.shopify.com/s/files/1/0437/3423/7333/files/60043808635.pdf
    • https://cdn.shopify.com/s/files/1/0433/4223/3755/files/biomes_in_southern_africa.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000078fd.bin
8763937e53fcf8ab20e5c10b72d18246a887d46b8af1ec43b50f26224892b632		 pdf-font-stream PDF embedded font (sfnt) at offset 0x78FD 5308 bytes
font_01_sfnt_off00008b03.bin
7be53d2453f2f3f2cdbfac4e630cdf1e408cfb24d60ba8acb00c69a046966d2d		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8B03 10516 bytes

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