Apache bRPC up to 1.17.x Streaming Feature SetRemoteConsumed assertion

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 1.14 |
Summary
A vulnerability marked as problematic has been reported in Apache bRPC up to 1.17.x. The affected element is the function Stream::SetRemoteConsumed of the component Streaming Feature. This manipulation causes assertion.
This vulnerability is handled as CVE-2026-82210. The attack can be initiated remotely. There is not any exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability was found in Apache bRPC up to 1.17.x. It has been declared as problematic. Affected by this vulnerability is the function Stream::SetRemoteConsumed of the component Streaming Feature. The manipulation with an unknown input leads to a assertion vulnerability. The CWE definition for the vulnerability is CWE-617. The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary. As an impact it is known to affect availability. The summary by CVE is:
Enforceable assertion in the streaming feature of Apache bRPC (version < 1.18.0) on all platforms allows a remote attacker to crash the server process by sending a malformed stream feedback frame. Root Cause: When handling FRAME_TYPE_FEEDBACK frames, bRPC calls Stream::SetRemoteConsumed() which contains CHECK(_cur_buf_size > 0) and unconditionally asserts CHECK(buf.IsEmpty()) on the frame payload. A feedback frame that carries an unexpected payload, or a feedback frame received on a stream where flow control is disabled (cur_buf_size == 0), reaches these assertions. On failure, CHECK failures abort the process, allowing an unauthenticated single client (once a stream is established) to terminate the server and cause a denial of service. Affected Scenarios: Use bRPC server with the streaming control feature (Stream API) served from untrusted network. How to Fix: 1. Upgrade bRPC to version 1.18.0, which fixes this issue. 2. Apply this patch: https://github.com/apache/brpc/pull/3494 The fix rejects malformed feedback frames with EPROTO and closes only the affected stream instead of crashing the whole process, and it bounds buffer shrinking so cur_buf_size never drops to 0 while flow control is enabled.
It is possible to read the advisory at lists.apache.org. This vulnerability is known as CVE-2026-82210 since 08/28/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/21/2026).
Upgrading to version 1.18.0 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.apache.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: AssertionCWE: CWE-617
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: bRPC 1.18.0
Timeline
08/28/2026 CVE reserved10/21/2026 Advisory disclosed
10/21/2026 VulDB entry created
10/21/2026 VulDB entry last update
Sources
Vendor: apache.orgAdvisory: lists.apache.org
Status: Confirmed
CVE: CVE-2026-82210 (🔒)
GCVE (CVE): GCVE-0-2026-82210
GCVE (VulDB): GCVE-100-424771
Entry
Created: 10/21/2026 14:47Changes: 10/21/2026 14:47 (55)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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