Malicious PDF — malware analysis report

Static analysis result for SHA-256 908f6f9ce74e2559…

MALICIOUS

PDF

221.2 KB Created: 2018-09-05 12:09:14 +00:00 Authoring application: Microsoft Word First seen: 2019-09-30
MD5: f013c2ff4c0377eda0f5a9f3c7f7f821 SHA-1: b1b1ac3b70c754d27ea227b6193eeee667e0439e SHA-256: 908f6f9ce74e2559ea8788aff7fabd8453710bddcf439fa8d73798469ad8aa63
84 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The file is a PDF that uses a cloud document lure, impersonating services like SharePoint or OneDrive to entice users to click a link. The embedded URL `https://alquimes.ga/%24%23%5E%40%25%40%5E%40` is the primary indicator of malicious intent. ClamAV also detected this file as `Pdf.Phishing.CWS497388d5-9899792-0`, further supporting its malicious nature.

Machine Learning

  • Nyx PDF Classifier clean score 0.0027

Heuristics 4

  • ClamAV: Pdf.Phishing.CWS497388d5-9899792-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.CWS497388d5-9899792-0
  • Cloud document impersonation lure medium SE_CLOUD_DOC_LURE
    Document impersonates a cloud file-sharing service such as SharePoint, OneDrive, Google Drive, Dropbox, Box, or Microsoft 365 and asks the user to open, verify, or access a shared document
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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://alquimes.ga/%24%23%5E%40%25%40%5E%40 PDF link annotation
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://www.microsoft.com/typography/ctfontshttp://lucasfonts.comMicrosoftIn PDF document text
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
    • http://www.microsoft.com/typography/fonts/default.aspxIn PDF document text

Related samples 4

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_005_off0002109f.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x2109F 304600 bytes
SHA-256: 9751df17f4c5b247844129d2ddb39a035fc08dda310fc2b6cd295ca5784cc3bd

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