CVE-2025-8671
Aug. 13, 2025, 8:15 p.m.
7.5
High
Description
A mismatch caused by client-triggered server-sent stream resets between HTTP/2 specifications and the internal architectures of some HTTP/2 implementations may result in excessive server resource consumption leading to denial-of-service (DoS). By opening streams and then rapidly triggering the server to reset them—using malformed frames or flow control errors—an attacker can exploit incorrect stream accounting. Streams reset by the server are considered closed at the protocol level, even though backend processing continues. This allows a client to cause the server to handle an unbounded number of concurrent streams on a single connection. This CVE will be updated as affected product details are released.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Apache |
|
|
| Nginx |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-404
Improper Resource Shutdown or Release
The product does not release or incorrectly releases a resource before it is made available for re-use.
*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 | apache | http_server | / | / | / | / | / | / | / | / |
| a | nginx | nginx | / | / | / | / | / | / | / | / |
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: Aug. 13, 2025, 1:15 p.m.
Last Modified: Aug. 13, 2025, 8:15 p.m.
Last Modified: Aug. 13, 2025, 8:15 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cret@cert.org
*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.