PDF malware analysis — malicious · f1ac457c32757dbc

MALICIOUS

PDF

39.5 KB Created: 2020-09-01 19:43:40 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: 185d353314cf662dbabf5e6179d4f1f5 SHA-1: 8bd1357bc6d1b9563e40880f8cae1b83057decac SHA-256: f1ac457c32757dbcf360b81668d2940a8c1eb4bf3d7859fdf95031cccc2969d9

152 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a link to a known malicious redirector, ttraff.cc, which is presented with a lure related to interview questions. The document also contains a large number of links to external PDFs hosted on static.usrfiles.com, suggesting a link farm or SEO poisoning attempt. The ML classifier also strongly indicated maliciousness. No scripts were extracted, but the primary attack vector appears to be social engineering via a deceptive link.

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.cc/wix?keyword=great+answers+for+interview+questions
- https://static.usrfiles.com/ugd/b8c837_69ea20d14b0140ecba4d52c61cc1b7ac.pdf
- https://static.usrfiles.com/ugd/b8c837_053808e8de0a4b62b6f65f7f8946bbac.pdf
- https://static.usrfiles.com/ugd/906e9f_50772455d8f344e2981abd2fee4c1e70.pdf
- https://static.usrfiles.com/ugd/f63f29_cee11a5610d94f8d8b94aa42e9bd0638.pdf
- https://static.usrfiles.com/ugd/dc98cc_1090ce0b7ac24a07849d4127f90ff1eb.pdf
- https://static.usrfiles.com/ugd/38eac1_f7ee9dfcd43c45409494c6785962c9c6.pdf
- https://static.usrfiles.com/ugd/c1108c_b0cce5263d1f4f5aab077a7cb7b8501a.pdf
- https://static.usrfiles.com/ugd/e5cbe5_864f25d4c14a4fe0ac868df531e7a4bc.pdf
- https://static.usrfiles.com/ugd/9421c8_4f53d947492f4e86999f090ffc4132ab.pdf
- https://cdn.shopify.com/s/files/1/0437/6641/5514/files/guwetamukaresusujug.pdf
- https://cdn.shopify.com/s/files/1/0440/7309/1222/files/surrealism_in_literature.pdf
- https://cdn.shopify.com/s/files/1/0430/8549/6469/files/42268954592.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_off00005d7d.bin` `80f1556e3f147992f6447b58737b8c34daac93ad7096ebdc06e0160237cb968e`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5D7D	5036 bytes
`font_01_sfnt_off00006ece.bin` `d4cb2a7b9cabbd7b61523e9449974f3a8589380cf9eeca112bd769cbeb85c2c4`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6ECE	10208 bytes

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