Malicious PDF — malware analysis report

Static analysis result for SHA-256 dcb0040521b7f8d6…

MALICIOUS

PDF

43.9 KB Created: 2020-08-18 17:55:33 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: e32ae6f7b3983fd3fe56f2d4dfd21d35 SHA-1: 10ea68457886df2fb20db072edab7b9486c17000 SHA-256: dcb0040521b7f8d6b9a00c7a772b539064a0ffca37d2275510478d4f32479f4c
154 Risk Score

Malware Insights

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

The PDF contains a significant number of embedded links, with one pointing to a known malicious redirector. The heuristic 'PDF_SEO_LINK_FARM' indicates a large number of external PDF links, suggesting an attempt to manipulate search engine results or distribute content. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted, and the document body was largely unreadable binary data, making it difficult to determine a more specific attack pattern beyond link manipulation.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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.cc/pify?keyword=agnisakshi+serial+song+video
    • http://files.thedropuk.co.uk/uploads/1/3/0/7/130775871/metokefu.pdf
    • https://cdn.shopify.com/s/files/1/0433/7709/8910/files/wifam.pdf
    • https://cdn.shopify.com/s/files/1/0440/7237/0326/files/ahmedabad_heritage_city.pdf
    • https://cdn.shopify.com/s/files/1/0429/1664/2975/files/car_diesel_engine_parts.pdf
    • https://cdn.shopify.com/s/files/1/0429/6677/8009/files/kubif.pdf
    • https://cdn.shopify.com/s/files/1/0435/9972/4702/files/29921231701.pdf
    • https://cdn.shopify.com/s/files/1/0433/3495/9259/files/lg_chiller.pdf
    • https://cdn.shopify.com/s/files/1/0434/8936/2082/files/2194742168.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 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00004bee.bin
7167c7afc1eeb62801cd93d8d0cbd8a1dbe6f4263c0a44429ef62ab5c9c6ff48
pdf-font-stream PDF embedded font (sfnt) at offset 0x4BEE 4908 bytes
font_01_sfnt_off00005c8c.bin
4c83f5cef443cd8466315a3b7d62a94091930b51fc9cddc333cf27d61dd121b5
pdf-font-stream PDF embedded font (sfnt) at offset 0x5C8C 9956 bytes
font_02_sfnt_off00007edd.bin
226a8e4e528c820945b068501793868e9b71e899c703a7ad804f9a2f424011a5
pdf-font-stream PDF embedded font (sfnt) at offset 0x7EDD 16384 bytes
font_03_sfnt_off000094a6.bin
0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333
pdf-font-stream PDF embedded font (sfnt) at offset 0x94A6 4324 bytes