Malicious PDF — malware analysis report

Static analysis result for SHA-256 cd9bc107686ccf85…

MALICIOUS

PDF

49.8 KB Created: 2020-08-29 17:00:50 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 1571177bb3967aa6a6d3bbfc63e976db SHA-1: babca6d717c9fe86bc37ec630ca3640676294cca SHA-256: cd9bc107686ccf85ca51c0e12a68de6709b84464e3acc791d93aae3fe79fee98
152 Risk Score

Malware Insights

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

This PDF document is flagged as malicious by a machine learning classifier and contains numerous embedded links. One critical heuristic indicates that the PDF links to known malicious redirector infrastructure, specifically 'https://ttraff.ru/wix?keyword=ginger+my+time+at+portia'. Another heuristic identifies a large PDF link farm, with many links pointing to shopify.com domains. The document body itself is heavily obfuscated but contains the redirector URL. The primary attack pattern appears to be a link farm designed to redirect users to malicious content.

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/wix?keyword=ginger+my+time+at+portia
    • https://cdn.shopify.com/s/files/1/0429/0389/6230/files/2191217901.pdf
    • https://cdn.shopify.com/s/files/1/0435/7927/7467/files/9342867566.pdf
    • https://cdn.shopify.com/s/files/1/0438/3604/7522/files/rurivifobinor.pdf
    • https://cdn.shopify.com/s/files/1/0461/3518/1465/files/mazuwuka.pdf
    • https://cdn.shopify.com/s/files/1/0430/4296/3613/files/3012717594.pdf
    • https://cdn.shopify.com/s/files/1/0431/4287/3249/files/juzojigopajuzisujadubew.pdf
    • https://static.usrfiles.com/ugd/b8c837_41c9f0d5e1cc4f4baa542f3dbb10501a.pdf
    • https://static.usrfiles.com/ugd/b8c837_161ab6fb037247e781f9f91ce5671a02.pdf
    • https://static.usrfiles.com/ugd/b8c837_365ee92ee164407ebb639b12bee82777.pdf
    • https://static.usrfiles.com/ugd/a298ce_4d1fbd74eefd47fcb78b9278bf6d3794.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_off000085cd.bin
504e1225ed249167bd7fcbcc2c46ae27855eeff1231bc2ddc99306cfd8bc05f5		 pdf-font-stream PDF embedded font (sfnt) at offset 0x85CD 5064 bytes
font_01_sfnt_off000096fb.bin
f5b53e91faf97b389e527eb7aefc35adacb92c3b32091317d241b3dec3fd6192		 pdf-font-stream PDF embedded font (sfnt) at offset 0x96FB 10308 bytes

Open this report in the interactive analyzer, or submit your own file for analysis.