Malicious PDF — malware analysis report

Static analysis result for SHA-256 cad7da3922ddbcb9…

MALICIOUS

PDF

55.6 KB Created: 2020-08-21 06:23:45 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 01c95a3733c3fa0cb2a66c22cdaf83d5 SHA-1: 7b638cd2f1274cb4bcbb3450e56df787194c318b SHA-256: cad7da3922ddbcb90ae23b59e863f7087a1f979dd1e0149882d4501b2bd626bf
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a critical heuristic firing for a malicious redirector link, which is also present in the document body. This link, 'https://ttraff.cc/pify?keyword=internet+speed+meter+lite+apk', is designed to trick users into downloading potentially malicious software. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted from this sample.

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/pify?keyword=internet+speed+meter+lite+apk
    • http://kulefebiw.olympicticketcollector.com/uploads/1/3/1/4/131438356/ketasirologawuz.pdf
    • http://files.top-value.com/uploads/1/3/1/1/131163737/e4ee340ed21.pdf
    • https://cdn.shopify.com/s/files/1/0431/2409/7191/files/application_for_marksheet_verification_gujarat_university.pdf
    • https://cdn.shopify.com/s/files/1/0431/9870/9917/files/adverbs_of_manner_worksheets_for_grade_2.pdf
    • https://cdn.shopify.com/s/files/1/0431/6859/6117/files/70068354510.pdf
    • https://cdn.shopify.com/s/files/1/0431/1298/8821/files/el_almacen_de_las_palabras_terribles_completo.pdf
    • https://cdn.shopify.com/s/files/1/0431/5830/6965/files/54622886391.pdf
    • https://cdn.shopify.com/s/files/1/0441/3983/9640/files/51105973227.pdf
    • https://cdn.shopify.com/s/files/1/0436/9619/3686/files/kugolekovojoke.pdf
    • https://cdn.shopify.com/s/files/1/0437/9148/3031/files/how_to_read_a_file_c.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.

FilenameKindSourceSize
font_00_sfnt_off00009ca9.bin
2e99122a223c118c1f57afd46ce050dbaf7ab4b4dadd89ca2079ccf789d8cafb		 pdf-font-stream PDF embedded font (sfnt) at offset 0x9CA9 5108 bytes
font_01_sfnt_off0000ade4.bin
6331f98ac1c036b06eaa44db172dbe210c3d4923c0cae799fb12d6ad13fed315		 pdf-font-stream PDF embedded font (sfnt) at offset 0xADE4 10496 bytes

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