CVE-2025-62370
Oct. 15, 2025, 4:15 p.m.
7.5
High
Description
Alloy Core libraries at the root of the Rust Ethereum ecosystem. Prior to 0.8.26 and 1.4.1, an uncaught panic triggered by malformed input to alloy_dyn_abi::TypedData could lead to a denial-of-service (DoS) via eip712_signing_hash(). Software with high availability requirements such as network services may be particularly impacted. If in use, external auto-restarting mechanisms can partially mitigate the availability issues unless repeated attacks are possible. The vulnerability was patched by adding a check to ensure the element is not empty before accessing its first element; an error is returned if it is empty. The fix is included in version v1.4.1 and backported to v0.8.26.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Alloy |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-248
Uncaught Exception
An exception is thrown from a function, but it is not caught.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | alloy | alloy_core | <0.8.26 | / | / | / | / | / | / | / |
| a | alloy | alloy_core | v0.8.26 | / | / | / | / | / | / | / |
| a | alloy | alloy_core | v1.4.1 | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Timeline
Published: Oct. 15, 2025, 4:15 p.m.
Last Modified: Oct. 15, 2025, 4:15 p.m.
Last Modified: Oct. 15, 2025, 4:15 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.