Arista EOS up to 4.31.0F improper authentication

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.6$0-$5k2.57-

Summaryinfo

A vulnerability categorized as critical has been discovered in Arista EOS up to 4.31.0F. Affected by this vulnerability is an unknown functionality. Such manipulation leads to improper authentication. This vulnerability is uniquely identified as CVE-2023-5502. The attack can be launched remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Arista EOS up to 4.31.0F and classified as critical. Affected by this issue is an unknown functionality. The manipulation with an unknown input leads to a improper authentication vulnerability. Using CWE to declare the problem leads to CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Impacted is confidentiality, integrity, and availability. CVE summarizes:

On affected platforms running Arista EOS with 802.1x authentication configured on the access/trunk ports, and routing enabled on the access VLAN of the ports, a malicious supplicant may be able to bypass the requirement to perform 802.1x authentication.

The advisory is shared for download at arista.com. This vulnerability is handled as CVE-2023-5502 since 10/10/2023. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 06/05/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.6
VulDB Meta Temp Score: 6.6

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.9
CNA Vector (Arista): 🔒

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Improper authentication
CWE: CWE-287
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/10/2023 CVE reserved
06/05/2026 +969 days Advisory disclosed
06/05/2026 +0 days VulDB entry created
06/05/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: arista.com
Status: Confirmed

CVE: CVE-2023-5502 (🔒)
GCVE (CVE): GCVE-0-2023-5502
GCVE (VulDB): GCVE-100-368852

Entryinfo

Created: 06/05/2026 08:07
Changes: 06/05/2026 08:07 (73)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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