PDF malware analysis — malicious · e5a84a1fc4f5df32

MALICIOUS

PDF

40.4 KB Created: 2020-08-29 19:38:03 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: 08a105c0b7c0cf2a4eb33159e722eb5f SHA-1: aa16e1dfdae34fdde6f6f8759bb71e07c8a25286 SHA-256: e5a84a1fc4f5df3227c1381ff98218deceb9c49c658816c66270b86c9d17c679

152 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1204.002 Malicious Link

This PDF file was identified as malicious by a machine learning classifier and contains a high density of external links. One critical heuristic firing indicates that the PDF links to known malicious redirector infrastructure, specifically 'https://ttraff.cc/wix?keyword=czech+casting+1431'. The document body, though heavily obfuscated, also contains this URL, suggesting it is the primary lure. The presence of numerous other links, many hosted on Shopify, points to a link farm strategy to obscure the malicious destination.

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=czech+casting+1431
- https://cdn.shopify.com/s/files/1/0438/6563/7019/files/equivalent_fractions_decimals_and_percentages_worksheet.pdf
- https://cdn.shopify.com/s/files/1/0438/6249/1286/files/53602100535.pdf
- https://cdn.shopify.com/s/files/1/0431/5083/5876/files/petexuxosulezedupemur.pdf
- https://static.usrfiles.com/ugd/b8c837_07fff8613603400091fccc9ee53c5e35.pdf
- https://static.usrfiles.com/ugd/b8c837_21099e3fbaa543799ab8b1ed93d07c8e.pdf
- https://static.usrfiles.com/ugd/b58d21_a675977f24c546a3b5cba49d8a64104e.pdf
- https://static.usrfiles.com/ugd/90c678_85feb68a8a2a425e8f015a7dc74fed53.pdf
- https://static.usrfiles.com/ugd/b8c837_03fabe0c4f734b85b60c8473cbeac064.pdf
- https://static.usrfiles.com/ugd/b8c837_13a468482e48450dbbfc3fc476ab9681.pdf
- https://static.usrfiles.com/ugd/b8c837_ada084d37453491c81c6fd609163feab.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.

Filename	Kind	Source	Size
`font_00_sfnt_off00005336.bin` `a2516aa0819deb71a0181536c571b8460eb5790aad1b29fc66b4531b69466e94`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5336	5192 bytes
`font_01_sfnt_off000064ee.bin` `864277504e679611c531c7e92f21196438856f4ee0e1c73a3eda7246ebffc527`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x64EE	15500 bytes

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