CPE, which stands for Common Platform Enumeration, is a standardized scheme for naming hardware, software, and operating systems. CPE provides a structured naming scheme to uniquely identify and classify information technology systems, platforms, and packages based on certain attributes such as vendor, product name, version, update, edition, and language.
CWE, or Common Weakness Enumeration, is a comprehensive list and categorization of software weaknesses and vulnerabilities. It serves as a common language for describing software security weaknesses in architecture, design, code, or implementation that can lead to vulnerabilities.
CAPEC, which stands for Common Attack Pattern Enumeration and Classification, is a comprehensive, publicly available resource that documents common patterns of attack employed by adversaries in cyber attacks. This knowledge base aims to understand and articulate common vulnerabilities and the methods attackers use to exploit them.
Services & Price
Help & Info
Search : CVE id, CWE id, CAPEC id, vendor or keywords in CVE
ssl3_get_record in s3_pkt.c for OpenSSL before 0.9.7a and 0.9.6 before 0.9.6i does not perform a MAC computation if an incorrect block cipher padding is used, which causes an information leak (timing discrepancy) that may make it easier to launch cryptographic attacks that rely on distinguishing between padding and MAC verification errors, possibly leading to extraction of the original plaintext, aka the "Vaudenay timing attack."
Observable Discrepancy The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor, which exposes security-relevant information about the state of the product, such as whether a particular operation was successful or not.
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
5
AV:N/AC:L/Au:N/C:P/I:N/A:N
nvd@nist.gov
EPSS
EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.
EPSS Score
The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.
Date
EPSS V0
EPSS V1
EPSS V2 (> 2022-02-04)
EPSS V3 (> 2025-03-07)
EPSS V4 (> 2025-03-17)
2022-02-06
–
–
12.57%
–
–
2022-04-03
–
–
12.57%
–
–
2023-02-26
–
–
12.57%
–
–
2023-03-12
–
–
–
2.13%
–
2023-04-02
–
–
–
2.13%
–
2023-08-13
–
–
–
1.98%
–
2023-10-29
–
–
–
1.98%
–
2023-11-12
–
–
–
1.98%
–
2023-12-17
–
–
–
1.98%
–
2024-02-18
–
–
–
2.36%
–
2024-03-03
–
–
–
2.36%
–
2024-03-10
–
–
–
2.85%
–
2024-04-07
–
–
–
2.85%
–
2024-06-02
–
–
–
2.85%
–
2024-09-22
–
–
–
2.62%
–
2024-12-22
–
–
–
1.95%
–
2025-02-02
–
–
–
1.95%
–
2025-02-16
–
–
–
2.08%
–
2025-01-19
–
–
–
1.95%
–
2025-02-02
–
–
–
1.95%
–
2025-02-16
–
–
–
2.08%
–
2025-03-18
–
–
–
–
7.93%
2025-03-18
–
–
–
–
7.93,%
EPSS Percentile
The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.
Publication date : 2003-02-18 23h00 +00:00 Author : Martin Vuagnoux EDB Verified : Yes
source: https://www.securityfocus.com/bid/6884/info
A side-channel attack against implementations of SSL exists that, through analysis of the timing of certain operations, can reveal sensitive information to an active adversary. This information leaked by vulnerable implementations is reportedly sufficient for an adaptive attack that will ultimately obtain plaintext of a target block of ciphertext.
The information loss was reduced in OpenSSL versions 0.9.6i and 0.9.7a. It is not known if other implementations are vulnerable to this or similar weaknesses.
*It should be noted that this attack is reportedly difficult to exploit and requires that the adversary be a man-in-the-middle.
https://gitlab.com/exploit-database/exploitdb-bin-sploits/-/raw/main/bin-sploits/22264.tar.gz