Malicious PDF — malware analysis report

Static analysis result for SHA-256 db943816e166c003…

MALICIOUS

PDF

60.0 KB Created: 2020-08-31 01:32:23 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: caedeebcbab7ec37b3a429879a55a20e SHA-1: b01d538d81d1e8d19db9da2c00c4e1ee80567d0d SHA-256: db943816e166c00343507797ae6054fe6036a1df08bebc306cd866a580216d46
92 Risk Score

Malware Insights

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

The PDF file was flagged as malicious by an ML classifier and contains a link to a known malicious redirector infrastructure at ttraff.com. This suggests the document is designed to lure users to a potentially harmful website. No scripts were extracted, and the document body was heavily obfuscated, preventing further analysis of its specific content or intent beyond the malicious link.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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.
  • 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.com/wix?keyword=debt+avalanche+worksheet
    • https://cdn.shopify.com/s/files/1/0437/1690/3080/files/68302748890.pdf
    • https://cdn.shopify.com/s/files/1/0432/0083/9837/files/57538440395.pdf
    • https://cdn.shopify.com/s/files/1/0431/3346/8839/files/international_public_relations_definition.pdf
    • https://cdn.shopify.com/s/files/1/0429/0949/9548/files/barcelona_transportation_map.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/87899810879.pdf
    • https://static.usrfiles.com/ugd/b8c837_0d364dab46e24a209039d58dd30071b8.pdf
    • https://static.usrfiles.com/ugd/8b49c6_def9bf02cba445568f9c0f3e5ec92a8a.pdf
    • https://static.usrfiles.com/ugd/b8c837_960112edbdbf4e43a1dc4431a4aea00f.pdf
    • https://static.usrfiles.com/ugd/47b1e8_820baa075182491abb245d76f08da3a6.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_off000084bd.bin
76f142ccf71b14a71fd2078ff1259f7ab2b192b750ba541141d257ffc462a0f7		 pdf-font-stream PDF embedded font (sfnt) at offset 0x84BD 5244 bytes
font_01_sfnt_off00009693.bin
14f5b12da3d5d0b240e08bcf590853369599cfcf83ba18e368a5edf404099259		 pdf-font-stream PDF embedded font (sfnt) at offset 0x9693 5012 bytes
font_02_sfnt_off0000a948.bin
15a733de992a2381027835249de8064289cbdd50767d3014f77945f3f9f8d0bc		 pdf-font-stream PDF embedded font (sfnt) at offset 0xA948 10868 bytes
font_03_sfnt_off0000ce56.bin
35d3440dae1ebc896564e4e6f70ea95aa3a30a1ac603c7fffbb21b68b8b72e2f		 pdf-font-stream PDF embedded font (sfnt) at offset 0xCE56 16036 bytes

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