CWE-497
AllowedExposure of Sensitive System Information to an Unauthorized Control Sphere
Abstraction: Base · Status: Incomplete
The product does not properly prevent sensitive system-level information from being accessed by unauthorized actors who do not have the same level of access to the underlying system as the product does.
669 vulnerabilities reference this CWE, most recent first.
CVE-2023-5081 (GCVE-0-2023-5081)
Vulnerability from cvelistv5 – Published: 2024-01-19 20:07 – Updated: 2025-05-30 14:25- CWE-497 - Exposure of Sensitive System Information to an Unauthorized Control Sphere
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CVE-2023-4605 (GCVE-0-2023-4605)
Vulnerability from cvelistv5 – Published: 2024-04-05 20:44 – Updated: 2024-08-12 18:32- CWE-497 - Exposure of Sensitive System Information to an Unauthorized Control Sphere
| Vendor | Product | Version | |
|---|---|---|---|
| Lenovo | XClarity Administrator |
Affected:
, < 3.6.28
(custom)
Affected: , < 4.0.24 (custom) |
|
| lenovo | xclarity_administrator |
Affected:
0 , < 3.6.28
(custom)
Affected: 0 , < 4.0.24 (custom) cpe:2.3:a:lenovo:xclarity_administrator:*:*:*:*:*:*:*:* |
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CVE-2023-4237 (GCVE-0-2023-4237)
Vulnerability from cvelistv5 – Published: 2023-10-04 14:23 – Updated: 2026-02-25 18:31- CWE-497 - Exposure of Sensitive System Information to an Unauthorized Control Sphere
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHBA-2023:5653 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHBA-2023:5666 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/security/cve/CVE-2023-4237 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2229979 | issue-trackingx_refsource_REDHAT |
| https://security.netapp.com/advisory/ntap-2024102… |
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat Ansible Automation Platform 2.4 for RHEL 8 |
cpe:/a:redhat:ansible_automation_platform:2.4::el8 cpe:/a:redhat:ansible_automation_platform:2.4::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.4 for RHEL 8 |
Unaffected:
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|
| Red Hat | Red Hat Ansible Automation Platform 2.4 for RHEL 9 |
cpe:/a:redhat:ansible_automation_platform:2.4::el8 cpe:/a:redhat:ansible_automation_platform:2.4::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.4 for RHEL 9 |
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CVE-2023-2541 (GCVE-0-2023-2541)
Vulnerability from cvelistv5 – Published: 2023-06-07 08:08 – Updated: 2024-09-04 07:00| Vendor | Product | Version | |
|---|---|---|---|
| KNIME | KNIME Business Hub |
Affected:
1.0.0 , < 1.4.0
(semver)
|
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CVE-2023-0342 (GCVE-0-2023-0342)
Vulnerability from cvelistv5 – Published: 2023-06-09 00:00 – Updated: 2025-01-06 19:25- CWE-497 - Exposure of System Data to an Unauthorized Control Sphere
| Vendor | Product | Version | |
|---|---|---|---|
| MongoDB Inc. | MongoDB Ops Manager |
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v5.0 , < 5.0.21
(custom)
Affected: v6.0 , < 6.0.12 (custom) |
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CVE-2023-0005 (GCVE-0-2023-0005)
Vulnerability from cvelistv5 – Published: 2023-04-12 16:41 – Updated: 2025-02-10 21:56- CWE-497 - Exposure of Sensitive System Information to an Unauthorized Control Sphere
| Vendor | Product | Version | |
|---|---|---|---|
| Palo Alto Networks | PAN-OS |
Unaffected:
11.0
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|
| Palo Alto Networks | Prisma Access |
Unaffected:
All
|
|
| Palo Alto Networks | Cloud NGFW |
Unaffected:
All
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CVE-2022-50237 (GCVE-0-2022-50237)
Vulnerability from cvelistv5 – Published: 2025-07-28 00:00 – Updated: 2025-07-28 13:56- CWE-497 - Exposure of Sensitive System Information to an Unauthorized Control Sphere
| Vendor | Product | Version | |
|---|---|---|---|
| dalek-cryptography | ed25519-dalek |
Affected:
0 , < 2
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CVE-2022-43852 (GCVE-0-2022-43852)
Vulnerability from cvelistv5 – Published: 2025-04-14 20:33 – Updated: 2025-08-15 15:19- CWE-497 - Exposure of Sensitive System Information to an Unauthorized Control Sphere
| URL | Tags |
|---|---|
| https://www.ibm.com/support/pages/node/7169766 | vendor-advisorypatch |
| Vendor | Product | Version | |
|---|---|---|---|
| IBM | Aspera Console |
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cpe:2.3:a:ibm:aspera_console:3.4.0:*:*:*:*:*:*:* cpe:2.3:a:ibm:aspera_console:3.4.4:*:*:*:*:*:*:* |
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CVE-2022-38710 (GCVE-0-2022-38710)
Vulnerability from cvelistv5 – Published: 2022-11-03 00:00 – Updated: 2024-09-25 18:15- CWE-497 - Exposure of System Data to an Unauthorized Control Sphere
| Vendor | Product | Version | |
|---|---|---|---|
| IBM | Robotic Process Automation |
Affected:
21.0.1, 21.0.2
cpe:2.3:a:ibm:robotic_process_automation:21.0.1:*:*:*:*:*:*:* cpe:2.3:a:ibm:robotic_process_automation:21.0.2:*:*:*:*:*:*:* |
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CVE-2022-34458 (GCVE-0-2022-34458)
Vulnerability from cvelistv5 – Published: 2023-02-01 04:34 – Updated: 2025-03-27 14:07- CWE-497 - Exposure of Sensitive System Information to an Unauthorized Control Sphere
| URL | Tags |
|---|---|
| https://www.dell.com/support/kbdoc/en-us/00020495… | vendor-advisory |
| Vendor | Product | Version | |
|---|---|---|---|
| Dell | Dell Command Update (DCU) |
Affected:
0 , < 4.7
(custom)
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Mitigation
Production applications should never use methods that generate internal details such as stack traces and error messages unless that information is directly committed to a log that is not viewable by the end user. All error message text should be HTML entity encoded before being written to the log file to protect against potential cross-site scripting attacks against the viewer of the logs
CAPEC-170: Web Application Fingerprinting
An attacker sends a series of probes to a web application in order to elicit version-dependent and type-dependent behavior that assists in identifying the target. An attacker could learn information such as software versions, error pages, and response headers, variations in implementations of the HTTP protocol, directory structures, and other similar information about the targeted service. This information can then be used by an attacker to formulate a targeted attack plan. While web application fingerprinting is not intended to be damaging (although certain activities, such as network scans, can sometimes cause disruptions to vulnerable applications inadvertently) it may often pave the way for more damaging attacks.
CAPEC-694: System Location Discovery
An adversary collects information about the target system in an attempt to identify the system's geographical location.
Information gathered could include keyboard layout, system language, and timezone. This information may benefit an adversary in confirming the desired target and/or tailoring further attacks.