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Scores are directional signals derived from aggregated public data — not verified findings or investment advice. Methodology
Signal-based estimates from public data — not verified assessments. Learn more
Strong stress indicators — multiple sources point to elevated workplace strain.
Elevated risk signals — operational or reputational pressure patterns observed.
Signals suggest ManoMano is facing a high‑risk data breach affecting millions of customers.
Recent signals indicate a significant data breach at ManoMano impacting approximately 37‑38 million customer records, which contributes to a high stress and risk rating. However, confidence in these observations is limited (≈25 %). Patterns suggest the breach may be a third‑party incident, and further verification is required.
What this means
ManoMano data breach impacted 38 Million customer accounts Security Affairs
ManoMano notifies 38 million customers of third-party data breach CyberInsider
Cyberattack: leak of 37 million customer records at ManoMano Groupe mind
Europe's leading online marketplace for DIY, home improvement, and gardening products, connecting 4,000+ merchants with 50 million monthly visitors across 6 countries.
Limited — treat this score as early-stage; more data needed.
⚠ Limited coverage — scores may shift as more signals arrive.
Based on 4 signals across 1 source
Scores are directional signals derived from public data — not certified assessments or recommendations. Confidence indicates data coverage, not accuracy. Learn how scores are calculated →
Derived from public sources such as news, filings, and reported events.
E-Commerce industry average
Limited signals collected so far — this score may shift significantly as more data arrives.
AI-generated from public signals — may be incomplete. Based on 3 recent signals.
This summary is generated from publicly available review and signal data. It is intended as an indicative overview only and should not be used as the sole basis for employment, investment, or business decisions. Signal volume and source diversity may limit representativeness.
AI summaries are generated from public signals and may not reflect the full picture.