HCL AION 2.0 Content-Security-Policy Remote Code Execution

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.
6.9$0-$5k0.75

Summaryinfo

A vulnerability identified as critical has been detected in HCL AION 2.0. Affected by this issue is some unknown functionality of the component Content-Security-Policy Handler. This manipulation causes Remote Code Execution. The identification of this vulnerability is CVE-2025-52650. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as critical was found in HCL AION 2.0. Affected by this vulnerability is some unknown functionality of the component Content-Security-Policy Handler. The manipulation with an unknown input leads to a remote code execution vulnerability. The CWE definition for the vulnerability is CWE-1032. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Inline script execution allowed in CSP vulnerability has been identified in HCL AION v2.0

The advisory is shared at support.hcl-software.com. This vulnerability is known as CVE-2025-52650 since 06/18/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/24/2025).

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

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.9
VulDB Meta Temp Score: 6.9

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 6.1
NVD Vector: 🔒

CNA Base Score: 8.2
CNA Vector (HCL): 🔒

CVSSv2info

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

Exploitinginfo

Class: Remote Code Execution
CWE: CWE-1032
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

06/18/2025 CVE reserved
10/10/2025 +114 days Advisory disclosed
10/10/2025 +0 days VulDB entry created
10/24/2025 +14 days VulDB entry last update

Sourcesinfo

Advisory: KB0124444
Status: Confirmed

CVE: CVE-2025-52650 (🔒)
GCVE (CVE): GCVE-0-2025-52650
GCVE (VulDB): GCVE-100-327889

Entryinfo

Created: 10/10/2025 13:35
Updated: 10/24/2025 23:32
Changes: 10/10/2025 13:35 (61), 10/10/2025 14:12 (1), 10/24/2025 23:32 (11)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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