PDF malware analysis — malicious · 4a89177420beefdb

MALICIOUS

PDF

41.8 KB Created: 2020-08-17 14:20:50 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: 095b0ab0088a063b55dfa5d66512c4d7 SHA-1: 8d8317708461a3dc1b718ead8e985547269fce5f SHA-256: 4a89177420beefdb7b2e2ef75ff8647f621437e2b9e0b80e210f5c84cd823d05

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 one critical link to 'ttraff.com' is flagged as a malicious redirector. The document body, though heavily obfuscated, contains the text 'Marvel all movies in tamil' and the malicious URL, suggesting a lure to a site that may host further malicious content or phishing pages. The ML classifier strongly supports the malicious verdict.

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=marvel+all+movies++in+tamil
- http://govajeje.canedymetalcraft.com/uploads/1/3/0/7/130740178/6934366.pdf
- https://cdn.shopify.com/s/files/1/0430/3847/4397/files/famanozukexikamelazival.pdf
- https://cdn.shopify.com/s/files/1/0433/2702/9400/files/telecharger_formation_excel_2007_gratuit.pdf
- https://cdn.shopify.com/s/files/1/0437/4495/2471/files/standard_deviation_python.pdf
- https://cdn.shopify.com/s/files/1/0437/6605/5063/files/mujinudotekirixelunef.pdf
- https://cdn.shopify.com/s/files/1/0450/8899/7541/files/konica_minolta_bizhub_206_specifications.pdf
- https://cdn.shopify.com/s/files/1/0435/3146/8951/files/67534421493.pdf
- https://cdn.shopify.com/s/files/1/0430/4617/4877/files/87630413780.pdf
- https://cdn.shopify.com/s/files/1/0428/3518/1724/files/articles_grammar_notes.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_off0000598d.bin` `70664e2299ae9b40ff93a462d6c720976841bc48a37752039bcfa80a757d5717`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x598D	4896 bytes
`font_01_sfnt_off00006a24.bin` `a6ff2e3db17afb1cd37817a94f89b6937a4b73331b0a468c208edb1259e9851a`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6A24	2688 bytes
`font_02_sfnt_off00007568.bin` `00d1e2ba7e7ff57b6e81b48bd97399f68b361b5fb29d60ac94e27b0a7effa81f`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7568	11036 bytes

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