Raw vector
CVSS:3.1/AV:A/AC:H/PR:L/UI:R/S:C/C:L/I:N/A:NSummary
CVE-2025-62309 is a low-severity Insertion of Sensitive Information Into Sent Data (CWE-201) vulnerability in Hcl Software (inferred from references). Its CVSS base score is 2.6 (Low).
Operationally, ranked at the 2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to CM-6 (Configuration Settings) and AC-3 (Access Enforcement) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-209850
Vulnerability Data
HCL AION is affected by a vulnerability where auto-complete functionality is enabled for certain input fields. This may allow sensitive information to be stored in the browser, potentially leading to unintended exposure under specific conditions.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Insufficient information to map techniques.CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires establishing configuration settings that disable autocomplete on sensitive input fields to prevent browser storage of credentials or PII.
Enforces access control decisions that can prohibit exposure of sensitive data via client-side browser mechanisms such as autocomplete.
Restricts non-essential functionality by ensuring the application does not enable autocomplete on fields handling sensitive information.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly prevent insertion of sensitive data into application outputs and messages.
Monitoring runtime data flows and outputs can detect sensitive data being transmitted.
Protecting data-in-transit can include filtering or encrypting to avoid exposing sensitive content.
Protecting data-in-use includes removing confidential values before they are processed or sent.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Data-masking techniques can prevent sensitive values from appearing in transmitted payloads.
Classification identifies sensitive data so it is not inadvertently transmitted.
Labelling makes sensitive data visible to developers and prevents accidental inclusion in outbound messages.
Information-transfer rules directly govern what data may be sent to external parties.
PII-protection requirements reduce the chance of sending personal data to unauthorized recipients.
DLP controls inspect and block outbound flows that contain sensitive information.