Malicious PDF — malware analysis report

Static analysis result for SHA-256 540279dd1eeb19a3…

MALICIOUS

PDF

47.3 KB Created: 2020-08-30 06:51:05 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 30bc6e5bc785872a3bd4199ce5d324f3 SHA-1: fd3b5a28bddfcd2756c283070dfe21b693dcff55 SHA-256: 540279dd1eeb19a319eb53f421f30a090091d23ee25c6b3e3d50fd9ec10261a3
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1200 Hardware Add-in T1059.001 PowerShell

The PDF contains a link farm designed to lure users into clicking on what appears to be a book title, but redirects to a malicious URL (https://ttraff.cc/wix?keyword=the+more+of+less+joshua+becker+free). The ML classifier strongly indicated maliciousness, and the PDF structure itself is suspicious due to the mass of external links. No scripts were extracted from this sample.

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.cc/wix?keyword=the+more+of+less+joshua+becker+free
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/wizivudid.pdf
    • https://cdn.shopify.com/s/files/1/0437/3191/0821/files/references_template_word_document.pdf
    • https://cdn.shopify.com/s/files/1/0461/8544/7587/files/74897683850.pdf
    • https://static.usrfiles.com/ugd/b8c837_b9c578f1fca946be8a8148f259330973.pdf
    • https://static.usrfiles.com/ugd/36f25b_7d259134eb034f65a1e39d53a8ad57e6.pdf
    • https://static.usrfiles.com/ugd/df4650_f9247489aa224720a446f71ab7a69808.pdf
    • https://static.usrfiles.com/ugd/67e251_c38ffdccb1fd4c0798caaad8aac99ea5.pdf
    • https://cdn.shopify.com/s/files/1/0430/3169/1421/files/46461983853.pdf
    • https://cdn.shopify.com/s/files/1/0432/1312/7844/files/degabiwewoboxofejemiw.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/49726552648.pdf
    • https://cdn.shopify.com/s/files/1/0437/4649/2567/files/mijufesivakatilowubutudo.pdf
    • https://cdn.shopify.com/s/files/1/0429/0645/2127/files/babulal_nagarmal_satnalika_foundation_scholarships_2020.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_off00007b2e.bin
c084a4946f019ecdd985ad288bdfa9c047698302cd8bd64a128bf4c3b5ad6e04
pdf-font-stream PDF embedded font (sfnt) at offset 0x7B2E 5348 bytes
font_01_sfnt_off00008d3e.bin
c48e7f75ea1770fcabda26b84131a3507c68cc6834eced366670db9c8ad1c309
pdf-font-stream PDF embedded font (sfnt) at offset 0x8D3E 10412 bytes