PDF malware analysis — malicious · c27a2a9997fe455a

MALICIOUS

PDF

49.5 KB Created: 2020-08-17 09:43:29 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: 0e67000f87c889f49e5aa545a4ff2180 SHA-1: a7fca4c7594d2fa60f472d881e5af9c87779b5c1 SHA-256: c27a2a9997fe455aa8fc11a316ba0b4610d9927507c37153c49a2ac557de64e0

152 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a critical heuristic firing for a malicious redirector link pointing to 'ttraff.ru'. The document body, though heavily obfuscated, contains the same URL and a reference to 'best hd movies', suggesting a lure. The PDF also exhibits characteristics of a link farm, with numerous embedded URLs, including one to 'cdn.shopify.com' which is likely part of the distribution infrastructure. The ML classifier strongly supports the malicious nature of this PDF.

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=best+hd+movies++sites+for+pc
- http://files.reemancrc.org/uploads/1/3/0/7/130775675/9509020.pdf
- http://lavifakip.thepaintedpalm.com/uploads/1/3/1/4/131454012/lunowusoz-binuxu-mivepapisifedag-biwurob.pdf
- https://cdn.shopify.com/s/files/1/0451/4293/3657/files/assembler_document_mac.pdf
- https://cdn.shopify.com/s/files/1/0429/9977/5381/files/56496662806.pdf
- https://cdn.shopify.com/s/files/1/0428/4976/3494/files/48406431420.pdf
- https://cdn.shopify.com/s/files/1/0427/9851/4343/files/agonistas_y_antagonistas_de_gnrh.pdf
- https://cdn.shopify.com/s/files/1/0428/7827/1641/files/tibifene.pdf
- https://cdn.shopify.com/s/files/1/0430/4535/5674/files/springing_tiger.pdf
- https://cdn.shopify.com/s/files/1/0429/5488/3231/files/sawewanudet.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_off0000776f.bin` `a909e819637bee64509f33c5a77c32829bb6b45cd9782285cd3f907f8b2c6b20`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x776F	4944 bytes
`font_01_sfnt_off0000884c.bin` `ba7cb31ed4dddd04311e4885bf9f231108a3b8b10244bb48eb1b4644c804d5a8`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x884C	10288 bytes
`font_02_sfnt_off0000ab63.bin` `0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xAB63	4324 bytes

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