Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:NSummary
CVE-2025-1395 is a high-severity Generation of Error Message Containing Sensitive Information (CWE-209) vulnerability in Gov (inferred from references). Its CVSS base score is 8.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Software (T1592.002); ranked at the 22th 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 SI-11 (Error Handling) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-1395 is a Generation of Error Message Containing Sensitive Information vulnerability (CWE-209) in HeyGarson, a product from Codriapp Innovation and Software Technologies Inc. The flaw enables fuzzing for application mapping by leaking sensitive details through error messages. It affects all versions of HeyGarson through 30012026. The vulnerability received a CVSS v3.1 base score of 8.2 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N), indicating high severity due to its network accessibility, low complexity, and lack of required privileges or user interaction.
Remote, unauthenticated attackers can exploit this vulnerability over the network by sending crafted fuzzing inputs to the affected HeyGarson application. Successful exploitation allows attackers to map the application's structure and extract sensitive information from error responses, achieving high confidentiality impact through information disclosure and low integrity impact, potentially aiding further attacks like reconnaissance for targeted exploits.
The primary advisory is available at https://www.usom.gov.tr/bildirim/tr-26-0009. No patches or vendor fixes are confirmed, as the vendor was contacted multiple times to verify the fixing process but did not respond. Security practitioners should isolate or discontinue use of affected HeyGarson instances until further mitigation details emerge.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-206579
Vulnerability Data
Generation of Error Message Containing Sensitive Information vulnerability in Codriapp Innovation and Software Technologies Inc. HeyGarson allows Fuzzing for application mapping. This issue affects HeyGarson: through 30012026. NOTE: The vendor was contacted and it was learned that the product is…
more
not supported.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V16.5.1
Mitigating Controls (NIST 800-53 r5) AI
si-11 directly requires error messages to avoid revealing exploitable information about the system or its data.
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 require sanitized error handling to prevent sensitive data disclosure.
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.
Secure coding standards explicitly forbid exposing sensitive data in errors.
Security testing can detect error messages that leak sensitive information.
Logging policy can require suppression of sensitive data in error messages.
Secure SDLC mandates error-handling rules that avoid leaking sensitive information.
Application security requirements can specify safe error messaging.
Secure architecture principles include proper exception handling.