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Flowise has Insufficient Password Salt Rounds

Moderate severity GitHub Reviewed Published Mar 5, 2026 in FlowiseAI/Flowise • Updated Jul 20, 2026

Package

npm flowise (npm)

Affected versions

<= 3.0.12

Patched versions

3.0.13

Description

Description

The default bcrypt salt rounds is set to 5, which is below the recommended minimum for security.

Affected Code

export function getHash(value: string) {
    const salt = bcrypt.genSaltSync(parseInt(process.env.PASSWORD_SALT_HASH_ROUNDS || '5'))
    return bcrypt.hashSync(value, salt)
}

Evidence

Using 5 salt rounds provides 2^5 = 32 iterations, which is far below the OWASP recommendation of 10 (2^10 = 1024 iterations) for bcrypt. This makes password hashes vulnerable to brute-force attacks with modern hardware.

Impact

Faster password cracking - in the event of database compromise, attackers can crack password hashes significantly faster than with proper salt rounds, potentially compromising all user accounts.

Recommendation

Increase default PASSWORD_SALT_HASH_ROUNDS to at least 10 (recommended by OWASP). Consider using 12 for better security-performance balance. Document that higher values increase login time but improve security.

Notes

The default bcrypt salt rounds is 5 (line 6), which provides only 2^5=32 iterations. OWASP recommends minimum 10 rounds (1024 iterations) for bcrypt. While configurable via PASSWORD_SALT_HASH_ROUNDS env var, the default matters because: (1) most deployments use defaults, (2) existing password hashes at 5 rounds remain vulnerable even if later increased. With modern GPUs, 5 rounds allows ~300,000 hashes/second vs ~10,000/second at 10 rounds - a 30x difference in cracking speed. In a database breach scenario, all user passwords could be cracked significantly faster. The same weak default is used in resetPassword (account.service.ts:568). This is a cryptographic weakness with real-world impact on password security.

Detection Method: Kolega.dev Deep Code Scan

Attribute Value
Severity Medium
CWE CWE-916 (Use of Password Hash With Insufficient Computational Effort)
Location packages/server/src/enterprise/utils/encryption.util.ts:5-7
Practical Exploitability Medium
Developer Approver faizan@kolega.ai

References

@igor-magun-wd igor-magun-wd published to FlowiseAI/Flowise Mar 5, 2026
Published to the GitHub Advisory Database Mar 5, 2026
Reviewed Mar 5, 2026
Published by the National Vulnerability Database Jun 24, 2026
Last updated Jul 20, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Local
Attack Complexity High
Attack Requirements None
Privileges Required High
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:L/AC:H/AT:N/PR:H/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(0th percentile)

Weaknesses

Use of Weak Hash

The product uses an algorithm that produces a digest (output value) that does not meet security expectations for a hash function that allows an adversary to reasonably determine the original input (preimage attack), find another input that can produce the same hash (2nd preimage attack), or find multiple inputs that evaluate to the same hash (birthday attack). Learn more on MITRE.

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. Learn more on MITRE.

CVE ID

CVE-2026-56272

GHSA ID

GHSA-x2g5-fvc2-gqvp

Source code

Credits

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