| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in XNIO. The affected element is the function notifyReadClosed. Performing a manipulation results in allocation of resources.
This vulnerability is identified as CVE-2022-0084. There is not any exploit available.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in XNIO (affected version unknown). It has been classified as problematic. This affects the function notifyReadClosed. The manipulation with an unknown input leads to a allocation of resources vulnerability. CWE is classifying the issue as CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. This is going to have an impact on availability. The summary by CVE is:
A flaw was found in XNIO, specifically in the notifyReadClosed method. The issue revealed this method was logging a message to another expected end. This flaw allows an attacker to send flawed requests to a server, possibly causing log contention-related performance concerns or an unwanted disk fill-up.
The weakness was released 08/27/2022. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-0084 since 01/03/2022. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 235116 (RHEL 7 : Red Hat JBoss Enterprise Application Platform 7.3.13 (RHSA-2025:4437)), which helps to determine the existence of the flaw in a target environment.
Applying the patch fdefb3b8b715d33387cadc4d48991fb1989b0c12 is able to eliminate this problem. The bugfix is ready for download at github.com.
The vulnerability is also documented in the vulnerability database at Tenable (235116). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
License
Website
- Product: https://github.com/xnio/xnio/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.5VulDB Meta Temp Score: 5.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Allocation of resourcesCWE: CWE-770 / CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 235116
Nessus Name: RHEL 7 : Red Hat JBoss Enterprise Application Platform 7.3.13 (RHSA-2025:4437)
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Patch: fdefb3b8b715d33387cadc4d48991fb1989b0c12
Timeline
01/03/2022 🔍08/27/2022 🔍
08/27/2022 🔍
05/05/2025 🔍
Sources
Product: github.comAdvisory: fdefb3b8b715d33387cadc4d48991fb1989b0c12
Status: Confirmed
CVE: CVE-2022-0084 (🔍)
GCVE (CVE): GCVE-0-2022-0084
GCVE (VulDB): GCVE-100-207411
Entry
Created: 08/27/2022 08:11Updated: 05/05/2025 17:32
Changes: 08/27/2022 08:11 (38), 10/02/2022 14:27 (1), 10/02/2022 14:28 (11), 05/05/2025 17:32 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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