Malicious PDF — malware analysis report

Static analysis result for SHA-256 c1d7fa5401365b6c…

MALICIOUS

PDF

36.3 KB Created: 2020-10-06 14:42:56 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-29
MD5: 1efe6a403fdf7b372bcae915c52754bf SHA-1: a982d072a86a0956a4ff31aec255ca6121c89ba9 SHA-256: c1d7fa5401365b6c6e4ac0682ef42b11771a44c1fd8f9a558b53f4924b45273e
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains numerous embedded links, with one specifically identified as a malicious redirector. The heuristic firings indicate a PDF link farm designed to redirect users to malicious sites, likely as part of a phishing or scam campaign. No scripts were extracted, but the presence of malicious URLs is a strong indicator of malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9995

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://cctraff.ru/strik?keyword=tyranny+bastard%2527s+wound+guide In PDF document text
    • https://site-1038467.mozfiles.com/files/1038467/gewunixazetizosula.pdfIn PDF document text
    • https://site-1038401.mozfiles.com/files/1038401/88646907664.pdfIn PDF document text
    • https://site-1038771.mozfiles.com/files/1038771/nelarot.pdfIn PDF document text
    • https://site-1036811.mozfiles.com/files/1036811/19764800414.pdfIn PDF document text
    • https://site-1036745.mozfiles.com/files/1036745/39921390514.pdfIn PDF document text
    • https://site-1038472.mozfiles.com/files/1038472/zilapez.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/4564fa2e-3dd6-4c75-b9a5-f3611527d233/wujalujegov.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/065400c4-4bdf-4849-82ca-c0d0b87aa88a/sazevaxomuterifewulozo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/47f44c4a-758a-4c37-9d4c-a6ee7eff8aae/kopugobasujuret.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/5335/0053/files/19395239147.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/2786/4471/files/grade_5_vocabulary_test.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/1264/3227/files/14053801323.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/8896/0416/files/minecraft_realms_plus.pdfIn PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000061c4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x61C4 5276 bytes
SHA-256: a9c00b9db98812d1f34d43be37fa37c206519c3ab36b10338c692691887af0ba
font_01_sfnt_off000073df.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x73DF 10352 bytes
SHA-256: 7c89ab67fef82d7890bd882260e487481b94a7fe2cec271a4fb2258795c7e6f3

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