CWE-201
Insertion of Sensitive Information Into Sent Data
The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor.
CVE-2026-48877 (GCVE-0-2026-48877)
Vulnerability from cvelistv5 – Published: 2026-05-27 08:47 – Updated: 2026-05-27 10:26 X_Open Source
VLAI
Title
WordPress GenerateBlocks plugin <= 2.1.0 - Sensitive Data Exposure vulnerability
Summary
Insertion of Sensitive Information Into Sent Data vulnerability in Tom GenerateBlocks allows Retrieve Embedded Sensitive Data.
This issue affects GenerateBlocks: from n/a through 2.1.0.
Severity
6.5 (Medium)
CWE
- CWE-201 - Insertion of Sensitive Information Into Sent Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://patchstack.com/database/wordpress/plugin/… | vdb-entry |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Tom | GenerateBlocks |
Affected:
n/a , ≤ 2.1.0
(custom)
|
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CVE-2026-4927 (GCVE-0-2026-4927)
Vulnerability from cvelistv5 – Published: 2026-04-01 14:54 – Updated: 2026-04-01 19:26
VLAI
Summary
Exposure of sensitive information in the users MFA feature in Devolutions Server allows users with user management privileges to obtain other users OTP keys via an authenticated API request.
This issue affects Server: from 2026.1.6 through 2026.1.11.
Severity
6.5 (Medium)
CWE
- CWE-201 - Insertion of sensitive information into sent data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Devolutions | Server |
Affected:
2026.1.6 , ≤ 2026.1.11
(custom)
|
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CVE-2026-5483 (GCVE-0-2026-5483)
Vulnerability from cvelistv5 – Published: 2026-04-10 17:33 – Updated: 2026-04-29 05:20
VLAI
Title
Odh-dashboard: odh dashboard kubernetes service account exposure
Summary
A flaw was found in odh-dashboard in Red Hat Openshift AI. This vulnerability in the `odh-dashboard` component of Red Hat OpenShift AI (RHOAI) allows for the disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This could enable an attacker to gain unauthorized access to Kubernetes resources.
Severity
8.5 (High)
CWE
- CWE-201 - Insertion of Sensitive Information Into Sent Data
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2026:7397 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:7398 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:7403 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:7404 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/security/cve/CVE-2026-5483 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2454764 | issue-trackingx_refsource_REDHAT |
Impacted products
7 products
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.16 |
Unaffected:
1775230902 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.16::el8 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1775234711 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.2 |
Unaffected:
1775523049 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1775239958 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
Date Public
2026-04-10 17:16
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CVE-2026-5512 (GCVE-0-2026-5512)
Vulnerability from cvelistv5 – Published: 2026-04-21 22:12 – Updated: 2026-04-22 17:39
VLAI
Title
Improper authorization vulnerability in GitHub Enterprise Server allowed disclosure of private repository names via mobile upload policy API
Summary
An improper authorization vulnerability was identified in GitHub Enterprise Server that allowed an authenticated attacker to determine the names of private repositories by their numeric ID. The mobile upload policy API endpoint did not perform an early authorization check, and validation error messages included the full repository name for repositories the caller did not have access to. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.21 and was fixed in versions 3.20.1, 3.19.5, 3.18.8, 3.17.14, 3.16.17, 3.15.21, and 3.14.26. This vulnerability was reported via the GitHub Bug Bounty program.
Severity
CWE
- CWE-201 - Insertion of sensitive information into sent data
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| GitHub | Enterprise Server |
Affected:
3.14.0 , ≤ 3.14.25
(semver)
Affected: 3.15.0 , ≤ 3.15.20 (semver) Affected: 3.16.0 , ≤ 3.16.16 (semver) Affected: 3.17.0 , ≤ 3.17.13 (semver) Affected: 3.18.0 , ≤ 3.18.7 (semver) Affected: 3.19.0 , ≤ 3.19.4 (semver) Affected: 3.20.0 , < 3.20.1 (semver) |
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"value": "An improper authorization vulnerability was identified in GitHub Enterprise Server that allowed an authenticated attacker to determine the names of private repositories by their numeric ID. The mobile upload policy API endpoint did not perform an early authorization check, and validation error messages included the full repository name for repositories the caller did not have access to. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.21 and was fixed in versions 3.20.1, 3.19.5, 3.18.8, 3.17.14, 3.16.17, 3.15.21, and 3.14.26. This vulnerability was reported via the GitHub Bug Bounty program.\u003cbr\u003e"
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Mitigation
Phase: Requirements
Description:
- Specify which data in the software should be regarded as sensitive. Consider which types of users should have access to which types of data.
Mitigation
Phase: Implementation
Description:
- Ensure that any possibly sensitive data specified in the requirements is verified with designers to ensure that it is either a calculated risk or mitigated elsewhere. Any information that is not necessary to the functionality should be removed in order to lower both the overhead and the possibility of security sensitive data being sent.
Mitigation
Phase: System Configuration
Description:
- Setup default error messages so that unexpected errors do not disclose sensitive information.
Mitigation ID: MIT-46
Phase: Architecture and Design
Strategy: Separation of Privilege
Description:
- Compartmentalize the system to have "safe" areas where trust boundaries can be unambiguously drawn. Do not allow sensitive data to go outside of the trust boundary and always be careful when interfacing with a compartment outside of the safe area.
- Ensure that appropriate compartmentalization is built into the system design, and the compartmentalization allows for and reinforces privilege separation functionality. Architects and designers should rely on the principle of least privilege to decide the appropriate time to use privileges and the time to drop privileges.
CAPEC-12: Choosing Message Identifier
This pattern of attack is defined by the selection of messages distributed via multicast or public information channels that are intended for another client by determining the parameter value assigned to that client. This attack allows the adversary to gain access to potentially privileged information, and to possibly perpetrate other attacks through the distribution means by impersonation. If the channel/message being manipulated is an input rather than output mechanism for the system, (such as a command bus), this style of attack could be used to change the adversary's identifier to more a privileged one.
CAPEC-217: Exploiting Incorrectly Configured SSL/TLS
An adversary takes advantage of incorrectly configured SSL/TLS communications that enables access to data intended to be encrypted. The adversary may also use this type of attack to inject commands or other traffic into the encrypted stream to cause compromise of either the client or server.
CAPEC-612: WiFi MAC Address Tracking
In this attack scenario, the attacker passively listens for WiFi messages and logs the associated Media Access Control (MAC) addresses. These addresses are intended to be unique to each wireless device (although they can be configured and changed by software). Once the attacker is able to associate a MAC address with a particular user or set of users (for example, when attending a public event), the attacker can then scan for that MAC address to track that user in the future.
CAPEC-613: WiFi SSID Tracking
In this attack scenario, the attacker passively listens for WiFi management frame messages containing the Service Set Identifier (SSID) for the WiFi network. These messages are frequently transmitted by WiFi access points (e.g., the retransmission device) as well as by clients that are accessing the network (e.g., the handset/mobile device). Once the attacker is able to associate an SSID with a particular user or set of users (for example, when attending a public event), the attacker can then scan for this SSID to track that user in the future.
CAPEC-618: Cellular Broadcast Message Request
In this attack scenario, the attacker uses knowledge of the target’s mobile phone number (i.e., the number associated with the SIM used in the retransmission device) to cause the cellular network to send broadcast messages to alert the mobile device. Since the network knows which cell tower the target’s mobile device is attached to, the broadcast messages are only sent in the Location Area Code (LAC) where the target is currently located. By triggering the cellular broadcast message and then listening for the presence or absence of that message, an attacker could verify that the target is in (or not in) a given location.
CAPEC-619: Signal Strength Tracking
In this attack scenario, the attacker passively monitors the signal strength of the target’s cellular RF signal or WiFi RF signal and uses the strength of the signal (with directional antennas and/or from multiple listening points at once) to identify the source location of the signal. Obtaining the signal of the target can be accomplished through multiple techniques such as through Cellular Broadcast Message Request or through the use of IMSI Tracking or WiFi MAC Address Tracking.
CAPEC-621: Analysis of Packet Timing and Sizes
An attacker may intercept and log encrypted transmissions for the purpose of analyzing metadata such as packet timing and sizes. Although the actual data may be encrypted, this metadata may reveal valuable information to an attacker. Note that this attack is applicable to VOIP data as well as application data, especially for interactive apps that require precise timing and low-latency (e.g. thin-clients).
CAPEC-622: Electromagnetic Side-Channel Attack
In this attack scenario, the attacker passively monitors electromagnetic emanations that are produced by the targeted electronic device as an unintentional side-effect of its processing. From these emanations, the attacker derives information about the data that is being processed (e.g. the attacker can recover cryptographic keys by monitoring emanations associated with cryptographic processing). This style of attack requires proximal access to the device, however attacks have been demonstrated at public conferences that work at distances of up to 10-15 feet. There have not been any significant studies to determine the maximum practical distance for such attacks. Since the attack is passive, it is nearly impossible to detect and the targeted device will continue to operate as normal after a successful attack.
CAPEC-623: Compromising Emanations Attack
Compromising Emanations (CE) are defined as unintentional signals which an attacker may intercept and analyze to disclose the information processed by the targeted equipment. Commercial mobile devices and retransmission devices have displays, buttons, microchips, and radios that emit mechanical emissions in the form of sound or vibrations. Capturing these emissions can help an adversary understand what the device is doing.