PDF malware analysis — malicious · 50e2798d393620a7

MALICIOUS

PDF

44.4 KB Created: 2020-08-31 18:37:02 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: fcc5aa1c65e4c6d3efd337140ed263ed SHA-1: 5b9d30ab03ba1b0489fe5990540f1eaa9cae50dd SHA-256: 50e2798d393620a749ad777fd0a0df0a8f44e292f423bfd343dd2fe4e81a5820

152 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF file contains a link that redirects to a known malicious domain, as indicated by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The document body, though heavily obfuscated, contains text related to 'augmented reality games' and the malicious URL, suggesting a lure. The PDF_SEO_LINK_FARM heuristic indicates a large number of outbound links, many of which point to the static.usrfiles.com domain, further supporting the malicious intent.

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=best+augmented+reality+games+android
- https://static.usrfiles.com/ugd/32acb1_7c81dbe352fd41178fcb00465405c9fc.pdf
- https://static.usrfiles.com/ugd/cc14e4_3f8857041fab48b3ba774997ea12880b.pdf
- https://static.usrfiles.com/ugd/66c878_4c3b6697c3b24facaf9d5cb213209c71.pdf
- https://static.usrfiles.com/ugd/0049ca_a0d48743b0004bf885ab4bf9a908696b.pdf
- https://static.usrfiles.com/ugd/45e30f_151eec6dbaa344ca9483e1848abef46f.pdf
- https://static.usrfiles.com/ugd/db93e9_47a398eea6c448e988ecd18b2c74417c.pdf
- https://static.usrfiles.com/ugd/b8c837_036edfe4fecf43169e19388be727cec1.pdf
- https://static.usrfiles.com/ugd/71fd01_7260b1bb00264d8694bfc80f4ed4796f.pdf
- https://static.usrfiles.com/ugd/b8c837_e7fc0aac90114f2f9790db0244d9754e.pdf
- https://static.usrfiles.com/ugd/b8c837_80af681399124cbe9b894ce3f21d82c8.pdf
- https://static.usrfiles.com/ugd/b8c837_3b9e23b4b9934d2db19b0d21ea6496d7.pdf
- https://static.usrfiles.com/ugd/2f7815_ab1ca4bb601149e9bb5d3ae2e86c4c97.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_off0000709e.bin` `cf0a0904b08c7b4e1d9c86c3d13e01cab02ba47a62451199491d9a7fd755abb5`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x709E	5296 bytes
`font_01_sfnt_off00008295.bin` `d64a3fd3f102aab7a02e2d336c0eb0f8ef3ad03b0beebd8a208dd756f67a1f2f`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8295	10096 bytes

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