CVE-2014-2354 : Detail

CVE-2014-2354

A02-Cryptographic FailuresA07-Identif. and Authent. Fail
0.1%V4
Local
2014-05-30
21h00 +00:00
2025-10-03
16h34 +00:00
CVE.org
NVD
Notifications for a CVE
Stay informed of any changes for a specific CVE.
Notifications manage

CVE Descriptions

Cogent DataHub Use of Password Hash With Insufficient Computational Effort

Cogent DataHub before 7.3.5 does not use a salt during password hashing, which makes it easier for context-dependent attackers to obtain cleartext passwords via a brute-force attack.

CVE Solutions

Cogent Real-Time Systems, Inc. has produced a new version of the Cogent DataHub application, Version 7.3.5, that fixes three of the four identified vulnerabilities. The updated version is available at the following address: http://cogentdatahub.com/Download_Software.html Cogent has indicated that it will not be fixing the cryptographic weaknesses of hashed usernames and passwords because of compatibility issues with existing systems. Cogent and the researcher agree that an effective mitigation strategy for users is to select sufficiently strong passwords. Cogent has indicated that password hashes can be checked for strength using sites such as: https://crackstation.net/ .

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-916 Use of Password Hash With Insufficient Computational Effort
The product generates a hash for a password, but it uses a scheme that does not provide a sufficient level of computational effort that would make password cracking attacks infeasible or expensive.
CWE-255 Category : Credentials Management Errors
Weaknesses in this category are related to the management of credentials.

Metrics

Metrics Score Severity CVSS Vector Source
V2 6 AV:L/AC:H/Au:S/C:C/I:C/A:C
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.

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.
EPSS First.org

Products Mentioned

Configuraton 0

Cogentdatahub>>Cogent_datahub >> Version To (including) 7.3.4

Cogentdatahub>>Cogent_datahub >> Version 7.0

Cogentdatahub>>Cogent_datahub >> Version 7.0.2

Cogentdatahub>>Cogent_datahub >> Version 7.1.0

Cogentdatahub>>Cogent_datahub >> Version 7.1.1

Cogentdatahub>>Cogent_datahub >> Version 7.1.1.63

Cogentdatahub>>Cogent_datahub >> Version 7.1.2

Cogentdatahub>>Cogent_datahub >> Version 7.2.2

Cogentdatahub>>Cogent_datahub >> Version 7.3.0

Cogentdatahub>>Cogent_datahub >> Version 7.3.1

    Cogentdatahub>>Cogent_datahub >> Version 7.3.2

      Cogentdatahub>>Cogent_datahub >> Version 7.3.3

        References

        The information presented on CVE Find originates from several carefully selected reference sources. CVE data is provided by MITRE Corporation and the National Vulnerability Database (NVD). The Known Exploited Vulnerabilities (KEV) catalog is sourced from the Cybersecurity and Infrastructure Security Agency (CISA), while EPSS scores come from FIRST.org. Additionally, data regarding software weaknesses (CWE) and common attack patterns (CAPEC) is maintained by MITRE Corporation, and information on hardware and software configurations (CPE) is provided by the NVD.