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ml-dsa's UseHint function has off by two error when r0 equals zero

Moderate severity GitHub Reviewed Published Jan 31, 2026 in RustCrypto/signatures • Updated Feb 2, 2026

Package

cargo ml-dsa (Rust)

Affected versions

<= 0.1.0-rc.4

Patched versions

0.1.0-rc.5

Description

Summary

There's a bug in the use_hint function where it adds 1 instead of subtracting 1 when the decomposed low bits r0 equal exactly zero. FIPS 204 Algorithm 40 is pretty clear that r0 > 0 means strictly positive, but the current code treats zero as positive. This causes valid signatures to potentially fail verification when this edge case gets hit.

Details

The issue is in ml-dsa/src/hint.rs in the use_hint function. Here's what FIPS 204 Algorithm 40 says:

3: if h = 1 and r0 > 0  return (r1 + 1) mod m
4: if h = 1 and r0 <= 0  return (r1 − 1) mod m

Line 3 uses r0 > 0 (strictly greater than zero), and line 4 uses r0 <= 0 (less than or equal, which includes zero). So when r0 = 0, the spec says to subtract 1.

But the current implementation does this:

if h && r0.0 <= gamma2 {
    Elem::new((r1.0 + 1) % m)
} else if h && r0.0 >= BaseField::Q - gamma2 {
    Elem::new((r1.0 + m - 1) % m)
}

The problem is r0.0 <= gamma2 includes zero. When r0 = 0, this condition is true (since 0 <= gamma2), so it adds 1. But according to the spec, r0 = 0 should fall into the r0 <= 0 case and subtract 1 instead.

The result is +1 when it should be -1, which is an off by two error mod m.

PoC

Take MLDSA 44 where γ2 = 95,232 and m = 44.

If use_hint(true, 0) is called:

  • Decompose(0) gives (r1=0, r0=0)
  • The condition r0.0 <= gamma2 is 0 <= 95232 which is true
  • So it returns (0 + 1) % 44 = 1

But FIPS 204 says:

  • r0 > 0 is 0 > 0 which is false
  • r0 ≤ 0 is 0 ≤ 0 which is true
  • So it should return (0 - 1) mod 44 = 43

The function returns 1 when it should return 43.

This can happen in real signatures whenever any coefficient of the w' vector happens to be a multiple of 2γ2, which makes its decomposed r0 equal zero. It's not super common but it's definitely possible, and when it hits, verification will fail for a completely valid signature.

Impact

This is a FIPS 204 compliance bug that affects signature verification. When the edge case triggers, valid signatures get rejected. Since MLDSA is supposed to be used for high security post quantum cryptography, having verification randomly fail isn't great. It's also theoretically possible that the mismatch between what signing expects and what verification does could be exploited somehow, though that would need more looking into.

The fix is straightforward, just change the condition to explicitly check for positive values:

if h && r0.0 > 0 && r0.0 <= gamma2 {
    Elem::new((r1.0 + 1) % m)
} else if h {
    Elem::new((r1.0 + m - 1) % m)
}

References

@tarcieri tarcieri published to RustCrypto/signatures Jan 31, 2026
Published to the GitHub Advisory Database Feb 2, 2026
Reviewed Feb 2, 2026
Last updated Feb 2, 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 Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity Low
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:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P

EPSS score

Weaknesses

Off-by-one Error

A product calculates or uses an incorrect maximum or minimum value that is 1 more, or 1 less, than the correct value. Learn more on MITRE.

Incorrect Calculation

The product performs a calculation that generates incorrect or unintended results that are later used in security-critical decisions or resource management. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-h37v-hp6w-2pp8

Source code

Credits

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