PDF malware analysis — malicious · 92c651ef42f8c836

MALICIOUS

PDF

37.4 KB Created: 2020-08-18 22:03:45 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: 136b66a9cc84b7d73e4bbe21d9c5e526 SHA-1: 2b548378903891ac9839452b6f0ff94a8c968fa1 SHA-256: 92c651ef42f8c836479eaf09593cd7ec731f7f078f63c20a3e279e358c372708

152 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF contains a large number of embedded links, many pointing to Shopify domains, but also includes a critical link to a known malicious redirector at 'ttraff.ru'. This suggests a link farm or SEO poisoning attack. The ML classifier also strongly indicated maliciousness. The document body itself is heavily obfuscated and contains the malicious redirector URL, reinforcing the attack pattern.

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/pify?keyword=number+of+faces+edges+and+vertices+worksheet
- http://files.johnmfraser.com/uploads/1/3/0/7/130740378/8704240.pdf
- http://files.trickdogu.com/uploads/1/3/0/7/130739836/795959.pdf
- https://cdn.shopify.com/s/files/1/0437/1460/9305/files/android_auto_app_store.pdf
- https://cdn.shopify.com/s/files/1/0430/8549/6482/files/jexurekijikigi.pdf
- https://cdn.shopify.com/s/files/1/0448/2033/2705/files/2016_hyundai_tucson_manual.pdf
- https://cdn.shopify.com/s/files/1/0430/8510/3258/files/wafusumodinipipep.pdf
- https://cdn.shopify.com/s/files/1/0428/7974/6201/files/lolojimomonobozot.pdf
- https://cdn.shopify.com/s/files/1/0431/8740/4968/files/wuvupawefafikijozubiwovin.pdf
- https://cdn.shopify.com/s/files/1/0433/0625/4494/files/mezirurotarazaserepux.pdf
- https://cdn.shopify.com/s/files/1/0440/7079/7462/files/26496478310.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 3

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off000045ba.bin` `082bfa5c9a21d0dfc7828be9582586b306e8354146b7b03b88250a899cf7e6aa`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x45BA	5612 bytes
`font_01_sfnt_off000058b0.bin` `22c1063b0744dc597264eac06ddf4d69f836c511b4ef5f8a2e5a077360bf8609`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x58B0	10000 bytes
`font_02_sfnt_off00007ae1.bin` `b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7AE1	4324 bytes

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