coinfomania.com Fetch.ai Faces $2M Loss from Smart Contract Vulnerability
Article Content
- •Fetch.ai lost $2 million due to a vulnerability in TokenConversionManagerV3.
- •An attacker exploited the flaw using a leaked private key to authorize a transaction.
- •Fetch.ai's trading volume is currently reported at $0, indicating market uncertainty.
Fetch.ai has reported a loss of approximately $2 million due to a security vulnerability in its TokenConversionManagerV3. The flaw allowed an attacker to exploit weaknesses in the contract's authorization checks, specifically through the conversionIn() function. An attacker utilized a leaked private key to authorize a transaction, draining the entire FET balance. This incident raises significant concerns about smart contract security in the crypto ecosystem. Currently, Fetch.ai's trading volume is at $0, indicating a potential pause in market activity following the exploit. The community is closely monitoring Fetch.ai's response, particularly regarding security updates and contract audits. The implications of this breach on Fetch.ai's market performance could lead to increased volatility as stakeholders assess the situation.
Ask AI about this cluster
Answers cite the sources they use
Timeline
More articles in this cluster (2)
Continue Reading
Critical WSO2 API Manager Vulnerability Under Active Exploitation A critical vulnerability (CVE-2026-5430) in WSO2 API Manager is being actively exploited, allowing unauthenticated attackers to forge admin tokens via JWT authentication bypass. This flaw, which has a CVSS score of 10.0, affects multiple WSO2 products including API Manager, Universal Gateway, Traffic Manager, and API…
Critical Linux Kernel Vulnerability CVE-2025-39682 Under Active Exploitation A critical vulnerability (CVE-2025-39682) in the Linux kernel allows remote code execution through mishandling of zero-length TLS records. This flaw affects kTLS-enabled hosts running vulnerable kernel versions, exposing them to attackers without authentication. CISA added this vulnerability to its Known Exploited…