PDF malware analysis — malicious · 84c31bcc1bbf01f7

MALICIOUS

PDF

47.9 KB Created: 2020-08-21 06:33:43 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: d8c0d0857d630dd9ac311f1fc8748fa1 SHA-1: 677a574e7e6bfec2f6e065dc08c0b762898877e0 SHA-256: 84c31bcc1bbf01f7d9cb6965b1e97345f833e476ef1d2893f2f67b9d5ec161be

152 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF was flagged by a machine learning classifier as malicious and contains a large number of embedded links to other PDF files, constituting a link farm. One of these links redirects to `https://ttraff.com/pify?keyword=mastic+asphalt+sheet`, which is identified as a known malicious redirector. This suggests the document is part of a campaign to lure users to malicious infrastructure, likely for phishing or malware distribution.

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.com/pify?keyword=mastic+asphalt+sheet
- http://files.mareadingcouncil.com/uploads/1/3/0/7/130775970/bb414068.pdf
- https://cdn.shopify.com/s/files/1/0430/7920/5018/files/72903104552.pdf
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/meragavafeduxilaxopuxaw.pdf
- https://cdn.shopify.com/s/files/1/0438/0845/6865/files/my_code_school.pdf
- https://cdn.shopify.com/s/files/1/0435/8651/9195/files/5418148277.pdf
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/lalosukiwafigoledexefes.pdf
- https://cdn.shopify.com/s/files/1/0428/5857/8086/files/45703568120.pdf
- https://cdn.shopify.com/s/files/1/0450/3057/2190/files/rejuva.pdf
- https://cdn.shopify.com/s/files/1/0431/1416/8480/files/daterejijuzeronipazol.pdf
- https://cdn.shopify.com/s/files/1/0433/9862/7495/files/commander_zilyana_guide.pdf
- https://cdn.shopify.com/s/files/1/0463/0495/2477/files/48127710716.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_off0000731a.bin` `e959d0f89fc643f2b3b87b7d58e2fa8d1d80c96f6a1c83ac6f64cea38a81c7ac`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x731A	4504 bytes
`font_01_sfnt_off00008268.bin` `cfc300a9a49523fbf11c18e5095d1e5b3cb7266f4954adeecdc85ab4976e6114`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8268	10140 bytes
`font_02_sfnt_off0000a51b.bin` `9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xA51B	4324 bytes

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