Malicious PDF — malware analysis report

Static analysis result for SHA-256 e9e2ed0e04c804b1…

MALICIOUS

PDF

118.6 KB Created: 2020-10-25 23:09:23 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 9216ab6ebb4ce3b91143dde924ae448f SHA-1: 3f4de80e9876654741e0eb62b4d5a7f5dbee1e98 SHA-256: e9e2ed0e04c804b1564662ebbecbd8642706f3bfc68693d3caa1acfdf235443c
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a large number of embedded links, many of which point to a redirector service. The document body, though heavily obfuscated, contains a URL that is also flagged as malicious. This suggests a phishing or scam attempt using a link farm to distribute malicious content.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9955

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://ggtraff.ru/aws?keyword=behavioral+economics+2018+pdf
    • https://cdn-cms.f-static.net/uploads/4380213/normal_5f8da294514bb.pdf
    • https://cdn-cms.f-static.net/uploads/4401545/normal_5f95183853de9.pdf
    • https://cdn-cms.f-static.net/uploads/4390324/normal_5f90028f87c2c.pdf
    • https://cdn-cms.f-static.net/uploads/4379220/normal_5f92451abfa85.pdf
    • https://cdn-cms.f-static.net/uploads/4375339/normal_5f8f13a2e3620.pdf
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • https://s3.amazonaws.com/leguvefu/introduction_to_statistical_learning_using_r.pdf
    • https://s3.amazonaws.com/jamokaroxoj/apresolina_50_mg_bula.pdf
    • https://s3.amazonaws.com/putelekireza/hc_sr04_arduino_code.pdf
    • https://s3.amazonaws.com/wonoti/thyristor_applications.pdf
    • https://s3.amazonaws.com/henghuili-files/kekosovevu.pdf
    • https://s3.amazonaws.com/fosalizuzu/6420804007.pdf
    • https://s3.amazonaws.com/felasorarabipis/90589781492.pdf
    • https://s3.amazonaws.com/wonoti/cad_soft_tools_dwg.pdf
    • https://cdn.shopify.com/s/files/1/0266/7957/4717/files/vivusewaxujopojagavajog.pdf
    • https://cdn.shopify.com/s/files/1/0428/3816/3623/files/71060470151.pdf
    • https://cdn.shopify.com/s/files/1/0476/7481/8726/files/1912173392.pdf
    • https://cdn.shopify.com/s/files/1/0431/4365/9677/files/aosp_keyboard_apk_lollipop.pdf
    • http://scripts.sil.org/OFL

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0001c886.bin
3b4a366e6dc84a2d5de258eb6bd2c75db08cd8f4236af44aa6185744aaa74939		 pdf-font-stream PDF embedded font (sfnt) at offset 0x1C886 5732 bytes

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