PDF malware analysis — malicious · c56a3dfa29a7f58a

MALICIOUS

PDF

45.8 KB Created: 2020-08-25 04:05:59 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: b01a74643c82f99392ddde57fbe4d5b2 SHA-1: 2094861e4d508538a91904af8cb378f3e6bc52d2 SHA-256: c56a3dfa29a7f58a66d696c98af8111bb35cb68bb62548c42f5282bc924383b9

150 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.com domains, but one critical link directs to a known malicious redirector at ttraff.ru. This suggests the document is designed to lead users to malicious content through a link farm, potentially for phishing or malware distribution. The ML classifier strongly supports the malicious nature of this PDF.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

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.
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.
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=asshurt+roblox+free
- http://files.fisherphotoanddesign.com/uploads/1/3/0/8/130813524/logaxoluja.pdf
- http://files.mrwise.org/uploads/1/3/1/3/131383613/lolenasumixeg.pdf
- http://files.5trt.org/uploads/1/3/2/6/132696146/279e323328c86.pdf
- https://cdn.shopify.com/s/files/1/0436/4405/9806/files/74699836199.pdf
- https://cdn.shopify.com/s/files/1/0432/8839/5936/files/14590254694.pdf
- https://cdn.shopify.com/s/files/1/0431/1256/2849/files/best_scanner_app_for_android_2020.pdf
- https://cdn.shopify.com/s/files/1/0427/4293/9814/files/88085723249.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/95909873105.pdf
- https://cdn.shopify.com/s/files/1/0433/4649/3605/files/combine_multiple_excel_files_into_one_worksheet.pdf
- https://cdn.shopify.com/s/files/1/0431/7986/8324/files/hempel_paint_data_sheet.pdf
- https://cdn.shopify.com/s/files/1/0430/0288/8351/files/ranitib.pdf
- https://cdn.shopify.com/s/files/1/0431/7121/7565/files/nanig.pdf
- https://cdn.shopify.com/s/files/1/0428/3082/3583/files/7232579208.pdf
- https://cdn.shopify.com/s/files/1/0435/7718/0328/files/invoice_file_sample.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.

Filename	Kind	Source	Size
`font_00_sfnt_off00004efa.bin` `aabc5dbc333b0020d17b9a92785210f1afdcb82d47e3ebadaf16cdc6e910c15f`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x4EFA	4840 bytes
`font_01_sfnt_off00005f68.bin` `becf5cab99060130c59bb7b1b19d5787b41a55cd128147ea59b2abb232157fe9`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5F68	2536 bytes
`font_02_sfnt_off00006a9f.bin` `dabe26141a2ee942c74a84feb3adf85776f4051d4d8fdba5fffc6457b6d5bbba`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6A9F	11012 bytes
`font_03_sfnt_off0000908d.bin` `ddefde304cfc910bed7ccd0e53070b72cbc863b563a4c8078267c5f811c61d29`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x908D	17324 bytes

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