| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Post-Quantum Secure Feldman's Verifiable Secret Sharing provides a Python implementation of Feldman's Verifiable Secret Sharing (VSS) scheme. In versions 0.8.0b2 and prior, the `feldman_vss` library contains timing side-channel vulnerabilities in its matrix operations, specifically within the `_find_secure_pivot` function and potentially other parts of `_secure_matrix_solve`. These vulnerabilities are due to Python's execution model, which does not guarantee constant-time execution. An attacker with the ability to measure the execution time of these functions (e.g., through repeated calls with carefully crafted inputs) could potentially recover secret information used in the Verifiable Secret Sharing (VSS) scheme. The `_find_secure_pivot` function, used during Gaussian elimination in `_secure_matrix_solve`, attempts to find a non-zero pivot element. However, the conditional statement `if matrix[row][col] != 0 and row_random < min_value:` has execution time that depends on the value of `matrix[row][col]`. This timing difference can be exploited by an attacker. The `constant_time_compare` function in this file also does not provide a constant-time guarantee. The Python implementation of matrix operations in the _find_secure_pivot and _secure_matrix_solve functions cannot guarantee constant-time execution, potentially leaking information about secret polynomial coefficients. An attacker with the ability to make precise timing measurements of these operations could potentially extract secret information through statistical analysis of execution times, though practical exploitation would require significant expertise and controlled execution environments. Successful exploitation of these timing side-channels could allow an attacker to recover secret keys or other sensitive information protected by the VSS scheme. This could lead to a complete compromise of the shared secret. As of time of publication, no patched versions of Post-Quantum Secure Feldman's Verifiable Secret Sharing exist, but other mitigations are available. As acknowledged in the library's documentation, these vulnerabilities cannot be adequately addressed in pure Python. In the short term, consider using this library only in environments where timing measurements by attackers are infeasible. In the medium term, implement your own wrappers around critical operations using constant-time libraries in languages like Rust, Go, or C. In the long term, wait for the planned Rust implementation mentioned in the library documentation that will properly address these issues. |
| Observable Discrepancy, Exposure of Sensitive Information to an Unauthorized Actor, Exposure of Private Personal Information to an Unauthorized Actor vulnerability in CBK Soft Software Hardware Electronic Computer Systems Industry and Trade Inc. EnVision allows Account Footprinting.This issue affects enVision: before 250566. |
| A minor information leak when running Screen with setuid-root privileges allows unprivileged users to deduce information about a path that would otherwise not be available.
Affected are older Screen versions, as well as version 5.0.0. |
| Observable discrepancy in RAPL interface for some Intel(R) Processors may allow a privileged user to potentially enable information disclosure via local access. |
| An issue in Sourcebans++ before v.1.8.0 allows a remote attacker to obtain sensitive information via a crafted XAJAX call to the Forgot Password function. |
| Helix ALM prior to 2025.1 returns distinct error responses during authentication, allowing an attacker to determine whether a username exists. |
| Description: VMware NSX contains a username enumeration vulnerability. An unauthenticated malicious actor may exploit this to enumerate valid usernames, potentially leading to unauthorized access attempts.
Impact: Username enumeration → facilitates unauthorized access.
Attack Vector: Remote, unauthenticated.
Severity: Important.
CVSSv3: 7.5 (High).
Acknowledgments: Reported by the National Security Agency.
Affected Products:
* VMware NSX 9.x.x.x, 4.2.x, 4.1.x, 4.0.x
* NSX-T 3.x
* VMware Cloud Foundation (with NSX) 5.x, 4.5.x
Fixed Versions:
* NSX 9.0.1.0; 4.2.2.2/4.2.3.1 http://4.2.2.2/4.2.3.1 ; 4.1.2.7; NSX-T 3.2.4.3; CCF async patch (KB88287).
Workarounds: None. |
| The public-facing product registration endpoint server responds
differently depending on whether the S/N is valid and unregistered,
valid but already registered, or does not exist in the database.
Combined with the fact that serial numbers are sequentially assigned,
this allows an attacker to gain information on the product registration
status of different S/Ns. |
| Timing difference in password reset in Ergon Informatik AG's Airlock IAM 7.7.9, 8.0.8, 8.1.7, 8.2.4 and 8.3.1 allows unauthenticated attackers to enumerate usernames. |
| Certain Cypress (and Broadcom) Wireless Combo chips, when a January 2021 firmware update is not present, allow memory access via a "Spectra" attack. |
| The login functionality of the web server in affected devices does not normalize the response times of login attempts. An unauthenticated remote attacker could exploit this side-channel information to distinguish between valid and invalid usernames. |
| An issue was discovered in Bouncy Castle Java TLS API and JSSE Provider before 1.78. Timing-based leakage may occur in RSA based handshakes because of exception processing. |
| Dependency-Track is a Component Analysis platform that allows organizations to identify and reduce risk in the software supply chain. Performing a login request against the /api/v1/user/login endpoint with a username that exist in the system takes significantly longer than performing the same action with a username that is not known by the system. The observable difference in request duration can be leveraged by actors to enumerate valid names of managed users. LDAP and OpenID Connect users are not affected. The issue has been fixed in Dependency-Track 4.12.2. |
| The login mechanism of Sage DPW 2021_06_004 displays distinct responses for valid and invalid usernames, allowing enumeration of existing accounts in versions before 2021_06_000. On-premise administrators can toggle this behavior in newer versions. |
| User enumeration vulnerability in /pwreset.php in osTicket v1.18.2 allows remote attackers to enumerate valid usernames registered in the platform. |
| The Page Restriction WordPress (WP) – Protect WP Pages/Post plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 1.3.6 via the WordPress core search feature. This makes it possible for unauthenticated attackers to extract sensitive data from posts that have been restricted to higher-level roles such as administrator. |
| GLPI 9.5.7 contains a username enumeration vulnerability in the lost password recovery mechanism that allows attackers to validate email addresses. Attackers can systematically test email addresses by submitting requests to the password reset endpoint and analyzing response differences to identify valid user accounts. |
| On Hyundai Pay Kasse HK-1000 devices, a side channel for the row-based OLED display was found. The power consumption of each row-based display cycle depends on the number of illuminated pixels, allowing a partial recovery of display contents. For example, a hardware implant in the USB cable might be able to leverage this behavior to recover confidential secrets such as the PIN and BIP39 mnemonic. In other words, the side channel is relevant only if the attacker has enough control over the device's USB connection to make power-consumption measurements at a time when secret data is displayed. The side channel is not relevant in other circumstances, such as a stolen device that is not currently displaying secret data. |
| The issue was addressed with improved checks. This issue is fixed in macOS Sequoia 15.2, macOS Sonoma 14.7.2, macOS Ventura 13.7.2. An app may be able to access user-sensitive data. |
| A privacy issue was addressed by moving sensitive data to a more secure location. This issue is fixed in iOS 17.5 and iPadOS 17.5. A malicious application may be able to determine a user's current location. |
