Malicious PDF — malware analysis report

Static analysis result for SHA-256 9e4e741b224f6103…

MALICIOUS

PDF

46.6 KB Created: 2020-09-06 14:04:14 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: e83ebb9a8250d50a08f32a357b485a81 SHA-1: 03f2255d3dd8df0236338598b1190aeeb98dd5ec SHA-256: 9e4e741b224f6103c2cf38c2817c78355465ca3148ed0210fd5021c302a240b2
154 Risk Score

Malware Insights

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

The PDF file contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.link/wix?keyword=manuale+altivar+312+pdf+italiano'. This indicates the document is designed to redirect users to malicious infrastructure. The presence of a large number of external PDF links, many pointing to Shopify domains, suggests a link farm or SEO poisoning tactic to obscure the malicious redirector. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted, but the primary attack vector appears to be the malicious URL embedded within the document.

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.link/wix?keyword=manuale+altivar+312+pdf+italiano
    • https://static.usrfiles.com/ugd/ff3115_ed084f2b80fa44b6b13b2b22ea5bf210.pdf
    • https://static.usrfiles.com/ugd/2f8cea_ed90fa2dff5d4a569feffbe17f3b9bad.pdf
    • https://static.usrfiles.com/ugd/ce77c6_d68c0b26266242569d8aaffeabc48e4e.pdf
    • https://static.usrfiles.com/ugd/e643da_ec788b0e314047dd9b13a06b90d61bdb.pdf
    • https://static.usrfiles.com/ugd/b8c837_cc49fc282ce94bc688b41131689e017e.pdf
    • https://static.usrfiles.com/ugd/930050_96684407a12247178b823413d0c927fe.pdf
    • https://static.usrfiles.com/ugd/b8c837_a6f240838ca84365b428cf9ff385a940.pdf
    • https://cdn.shopify.com/s/files/1/0428/1057/2967/files/96430712590.pdf
    • https://cdn.shopify.com/s/files/1/0428/1715/9335/files/78338001258.pdf
    • https://cdn.shopify.com/s/files/1/0436/1404/4323/files/statistical_inference_solution.pdf
    • https://cdn.shopify.com/s/files/1/0428/3616/4774/files/rogifojasojimodelojaxes.pdf
    • https://cdn.shopify.com/s/files/1/0431/1403/7397/files/15682030772.pdf
    • https://cdn.shopify.com/s/files/1/0438/9991/2344/files/top_crowdfunding_platforms_for_nonprofits.pdf
    • https://cdn.shopify.com/s/files/1/0433/8001/5271/files/fixiji.pdf
    • https://cdn.shopify.com/s/files/1/0437/2067/1400/files/13127554384.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_off00006df2.bin
0c1d72068b54ad1e37703544d61ddf4179bed093d7a284695ceb2339036e3e2d
pdf-font-stream PDF embedded font (sfnt) at offset 0x6DF2 5272 bytes
font_01_sfnt_off00008011.bin
ff9f03af6da0d6faa15fbf3e1344d93d577d541fa64a29827654d091bfcd765f
pdf-font-stream PDF embedded font (sfnt) at offset 0x8011 14800 bytes