Malicious PDF — malware analysis report

Static analysis result for SHA-256 dea0bf1832930325…

MALICIOUS

PDF

34.8 KB Authoring application: QPDF First seen: 2020-09-24
MD5: 43d3b6397bab75268abd048f0246a7c3 SHA-1: b8c9f62b6fdec67e638c4b77905af24972132338 SHA-256: dea0bf18329303259478943757936fc63b1d85a624cddbf96d449db764fa0840
114 Risk Score

Malware Insights

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

The sample is identified as malicious by multiple heuristics, including a critical ClamAV detection and an ML classifier. The presence of embedded URLs and the 'SE_CALLBACK_LURE' heuristic strongly suggest a callback phishing or tech-support scam. Although no scripts were explicitly extracted, the PDF structure and embedded URIs indicate it is designed to lead the user to malicious content or initiate a fraudulent interaction.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 4

  • ClamAV: Pdf.Phishing.TtraffRobotInstall-7605656-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.TtraffRobotInstall-7605656-0
  • Callback phishing phone lure medium SE_CALLBACK_LURE
    Document asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) documents that carry no urgency or charge/dispute escalation.
  • 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 http://michaelmaguire.com.au/uploads/1/3/0/3/130323148/9835973.pdf PDF link annotation
    • http://misiupapier.com.au/uploads/1/3/0/4/130494172/9360150.pdfIn PDF document text
    • https://nabunenox.weebly.com/uploads/1/3/0/2/130272101/wupeguzagojovufoval.pdfIn PDF document text
    • http://xenov.penostroy.com/uploads/2020/01/28/ruliruwojuro_tepezipi.pdfIn PDF document text
    • http://reboundat.com/uploads/1/3/0/5/130550930/130550930.html#form+i-+102+processing+timeIn PDF document text

Related samples 8

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
font_00_sfnt_off0000103e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x103E 8808 bytes
SHA-256: 98694903d2b741384747a25d53b32e31c9ce383cf2044ea76df74c6717cf1080

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