Malicious PDF — malware analysis report

Static analysis result for SHA-256 2d9e847214d3342b…

MALICIOUS

PDF

34.5 KB Created: 2020-08-19 04:37:55 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 03c2708a38afbbc3a09d8d6dbc61ed19 SHA-1: a27953a597baf5e3575222af494f490b8fd87bfb SHA-256: 2d9e847214d3342b55f1f2566ef18d4d3b33ce6ab976776b6cf58e6dcf50e8af
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF contains a prominent link that appears to be a 'Krebs cycle worksheet pdf'. This link, however, redirects to a known malicious domain (ttraff.com). The document also contains a large number of embedded links, many pointing to Shopify domains, which is characteristic of SEO link farm tactics to obscure malicious intent. The ML classifier strongly flagged this PDF as malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • 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.
  • 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.com/pify?keyword=krebs+cycle+worksheet+pdf
    • http://files.vonderhauswulfgermanshepherd.com/uploads/1/3/0/8/130813797/fivepeno.pdf
    • https://cdn.shopify.com/s/files/1/0428/9229/6359/files/xovin.pdf
    • https://cdn.shopify.com/s/files/1/0433/6071/4904/files/vivufojovizuduxikitixipa.pdf
    • https://cdn.shopify.com/s/files/1/0432/4563/3693/files/immunisation_schedule_uk.pdf
    • https://cdn.shopify.com/s/files/1/0430/5167/9898/files/twitter_archive_deleted_tweets.pdf
    • https://cdn.shopify.com/s/files/1/0435/3998/8648/files/24040169370.pdf
    • https://cdn.shopify.com/s/files/1/0450/2811/4582/files/convert_binary_text_to_online.pdf
    • https://cdn.shopify.com/s/files/1/0437/5255/4657/files/zofenuriwabitomuloras.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/vitalifurefafimeribedewo.pdf
    • https://cdn.shopify.com/s/files/1/0429/9587/5989/files/ruzejojuvi.pdf
    • https://cdn.shopify.com/s/files/1/0431/7095/5415/files/23526375255.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_off00004968.bin
eb4e83661d41674cb196e92eccfe622fcaa064f8455072b269206010a9911123		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4968 5400 bytes
font_01_sfnt_off00005bcb.bin
b59e0d8f1c343f134b63c957631f5e53d40d96b3fcc5179b5432cb0a033a61c1		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5BCB 9860 bytes

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