| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Wildfly-elytron and classified as problematic. The impacted element is an unknown function. The manipulation leads to timing discrepancy. This vulnerability is documented as CVE-2022-3143. There is not any exploit available.
Details
A vulnerability was found in Wildfly-elytron (Application Server Software) (the affected version unknown) and classified as problematic. This issue affects an unknown part. The manipulation with an unknown input leads to a timing discrepancy vulnerability. Using CWE to declare the problem leads to CWE-208. Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not. Impacted is confidentiality. The summary by CVE is:
wildfly-elytron: possible timing attacks via use of unsafe comparator. A flaw was found in Wildfly-elytron. Wildfly-elytron uses java.util.Arrays.equals in several places, which is unsafe and vulnerable to timing attacks. To compare values securely, use java.security.MessageDigest.isEqual instead. This flaw allows an attacker to access secure information or impersonate an authed user.
The weakness was released 01/13/2023. It is possible to read the advisory at access.redhat.com. The identification of this vulnerability is CVE-2022-3143 since 09/06/2022. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
The vulnerability scanner Nessus provides a plugin with the ID 240509 (RHEL 7 : Red Hat JBoss Enterprise Application Platform 7.3.14 Security update (Important) (RHSA-2025:9583)), which helps to determine the existence of the flaw in a target environment.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at Tenable (240509). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.0VulDB Meta Temp Score: 5.0
VulDB Base Score: 2.6
VulDB Temp Score: 2.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.4
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: Timing discrepancyCWE: CWE-208 / CWE-203 / CWE-200
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: 240509
Nessus Name: RHEL 7 : Red Hat JBoss Enterprise Application Platform 7.3.14 Security update (Important) (RHSA-2025:9583)
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/06/2022 🔍01/13/2023 🔍
01/13/2023 🔍
06/26/2025 🔍
Sources
Advisory: access.redhat.comStatus: Not defined
CVE: CVE-2022-3143 (🔍)
GCVE (CVE): GCVE-0-2022-3143
GCVE (VulDB): GCVE-100-218291
Entry
Created: 01/13/2023 13:40Updated: 06/26/2025 06:17
Changes: 01/13/2023 13:40 (35), 02/07/2023 06:59 (11), 06/26/2025 06:17 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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