PDF malware analysis — malicious · a0131bef976e65ff

MALICIOUS

PDF

51.3 KB Created: 2020-08-30 22:12:36 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: b434aec4459042580880259839aafbda SHA-1: 2c9293d052dc500ecbe42557f67fb27de024b93d SHA-256: a0131bef976e65ffbda38952d33dee026d46aca51fed6ccfc0baed4af4da4312

150 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF file contains numerous embedded links, with one specifically pointing to a known malicious redirector. The heuristic 'PDF_SEO_LINK_FARM' indicates a mass of external links, suggesting an attempt to manipulate search results or distribute malicious content. The ML classifier also flagged this PDF with high confidence. The primary malicious IOC is the redirector URL.

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.cc/wix?keyword=factorizar+x+2+x+1
- https://cdn.shopify.com/s/files/1/0432/7945/0272/files/amiibo_checklist.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/xikidewutuxazumal.pdf
- https://cdn.shopify.com/s/files/1/0437/8935/3117/files/magivetivavatekop.pdf
- https://cdn.shopify.com/s/files/1/0429/5757/0207/files/judicial_affidavit_sample_format_philippines.pdf
- https://cdn.shopify.com/s/files/1/0430/3106/8825/files/kodi_raspberry_pi.pdf
- https://cdn.shopify.com/s/files/1/0432/2807/0052/files/vehicle_dynamics_theory_and_application_reza_n_jazar.pdf
- https://cdn.shopify.com/s/files/1/0434/7383/0040/files/semantic_analogy_questions_and_answers_in_english.pdf
- https://cdn.shopify.com/s/files/1/0435/2393/2311/files/jobakaxanenalulefifusat.pdf
- https://static.usrfiles.com/ugd/eed56f_439d909004e24b27bed1a6d5a5ef9f80.pdf
- https://static.usrfiles.com/ugd/b8c837_f0a1acd69a744bdc87d22a4cbe0bff06.pdf
- https://static.usrfiles.com/ugd/b8c837_12f9d3d6161947c6aca4565ed9c2ee0d.pdf
- https://cdn.shopify.com/s/files/1/0440/9648/7576/files/mojaxokaxejeli.pdf
- https://cdn.shopify.com/s/files/1/0437/1929/5130/files/nuxebafebebanoxoziriv.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_off00005c26.bin` `d722bb73194d702385dcee6052fa4f32177964602a5384f174741dd1eed83b6c`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5C26	4404 bytes
`font_01_sfnt_off00006b2e.bin` `f4f42af75008ce0d56440cd4ecc5888d24c92704c78ff1012a175a3f721190b3`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6B2E	15388 bytes
`font_02_sfnt_off00009b9e.bin` `a534b91c4ec3d8756e3a834051570443c69e75f38d6508a28567570861ffac3d`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x9B9E	16080 bytes
`font_03_sfnt_off0000b043.bin` `1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xB043	4324 bytes

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