What is the CVSS score of CVE-2024-53326?

CVE-2024-53326 has a CVSS 3.1 base score of 7.3 (High). CVSS vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H. EPSS exploitation probability: 2.9%.

Is there a public PoC exploit available for CVE-2024-53326?

Yes, a public proof-of-concept exploit is available for CVE-2024-53326. Prioritise patching immediately. EPSS: 2.9%.

LINQPad CVE-2024-53326

EUVD-2024-55573 HIGH

Deserialization of Untrusted Data (CWE-502)

2026-05-08 mitre

GHSA-hxqg-f8pm-8v2h

RCE Deserialization

7.3

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.3 HIGH

AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H

Attack Vector

Local

Attack Complexity

Low

Privileges Required

Low

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVSS changed

May 08, 2026 - 20:22 NVD

7.3 (HIGH)

CVE Published

May 08, 2026 - 00:00 cve.org

HIGH 7.3

DescriptionCVE.org

LINQPad before 5.52.01 Pro edition is vulnerable to Unsafe Deserialization in LINQPad.AutoRefManager::PopulateFromCache(), leading to code execution.

AnalysisAI

LINQPad before 5.52.01 Pro edition is vulnerable to Unsafe Deserialization in LINQPad.AutoRefManager::PopulateFromCache(), leading to code execution. Rated high severity (CVSS 7.3), this vulnerability is low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as Deserialization of Untrusted Data (CWE-502), which allows attackers to execute arbitrary code through malicious serialized objects. LINQPad before 5.52.01 Pro edition is vulnerable to Unsafe Deserialization in LINQPad.AutoRefManager::PopulateFromCache(), leading to code execution. Affected products include: N/A. Version information: before 5.52.01.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.