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Case 97321e19
0.9/ Low30% confidence
- Source
- LinkedIn
- Submitted
- 24/06/2026
- Published
- 02/11/2026
- Verdict
- v1 · 02/11/2026
- Engine
- legacy-pre-g
What it does
| Verdict | Low |
|---|
| Note | Assessed by the engine of November 2026 |
|---|
| Code | The repository is no longer available for re-verification |
|---|
This case, originating from a LinkedIn direct message, presents a low-risk assessment for a recruitment scam, though this judgment is made with low confidence due to limited evidence. The sender, identifying as "Subject GT-f4a1" from "EyeLabx," initiated contact by claiming to have found the recipient's profile on GitHub and expressing significant admiration for their experience and work. This use of flattery is an indicator that sometimes appears in scam attempts. Additionally, the project brand "EyeLabx" is currently unknown, which is another signal that can point to potential issues. While these indicators suggest a possible scam, the overall evidence is limited, making a definitive conclusion difficult. The low confidence in the assessment means further scrutiny would be advisable if the interaction progresses.
Conversation
Subject GT-f4a1
Hey, I'm Subject GT-f4a1, from EyeLabx. We stumbled upon your profile on github and were really impressed with your experience and work. Can we chat for a bit, like 10 minutes, whenever you're free?
What we could not see
| Code | No repository code was examined; the verdict rests on the conversation. |
|---|
| Verification | Assessed by an earlier engine; the repository is no longer available, so nothing here was re-verified. |
|---|
Versions
| Version | Date | Band | Engine | Stages |
|---|
| 1 | 02/11/2026 | Low | legacy-pre-g | engine |
Disclaimer: This report is based on community-submitted information and automated analysis. It does not constitute legal advice or a definitive determination of fraud. Named or described entities may contest this report — if you believe this case contains inaccurate information, you may submit a correction or appeal. RTIdx processes takedown and correction requests within 7 days.
