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dcap-qvl has Missing Verification for QE Identity

Critical severity GitHub Reviewed Published Jan 24, 2026 in Phala-Network/dcap-qvl • Updated Jan 29, 2026

Package

npm @phala/dcap-qvl (npm)

Affected versions

<= 0.3.0

Patched versions

0.3.9
npm @phala/dcap-qvl-node (npm)
<= 0.3.3
None
npm @phala/dcap-qvl-web (npm)
<= 0.3.3
None
cargo dcap-qvl (Rust)
< 0.3.9
0.3.9
pip dcap-qvl (pip)
< 0.3.9
0.3.9

Description

Impact

This vulnerability involves a critical gap in the cryptographic verification process within the dcap-qvl.

The library fetches QE Identity collateral (including qe_identity, qe_identity_signature, and qe_identity_issuer_chain) from the PCCS. However, it skips to verify the QE Identity signature against its certificate chain and does not enforce policy constraints on the QE Report.

Consequences

An attacker can forge the QE Identity data to whitelist a malicious or non-Intel Quoting Enclave. This allows the attacker to forge the QE and sign untrusted quotes that the verifier will accept as valid. Effectively, this bypasses the entire remote attestation security model, as the verifier can no longer trust the entity responsible for signing the quotes.

Who is impacted

All deployments utilizing the dcap-qvl library for SGX or TDX quote verification are affected.

Patches

The vulnerability has been patched in dcap-qvl version 0.3.9. The fix implements the missing cryptographic verification for the QE Identity signature and enforces the required checks for MRSIGNER, ISVPRODID, and ISVSVN against the QE Report.

Users of the @phala/dcap-qvl-node and @phala/dcap-qvl-web packages should switch to the pure JavaScript implementation, @phala/dcap-qvl.

Workarounds

There are no known workarounds for this vulnerability. Users must upgrade to the patched version to ensure that QE Identity collateral is properly verified.

Credit

This bug was reported by Rahul Saxena [email protected].

References

@kvinwang kvinwang published to Phala-Network/dcap-qvl Jan 24, 2026
Published to the GitHub Advisory Database Jan 26, 2026
Reviewed Jan 26, 2026
Published by the National Vulnerability Database Jan 26, 2026
Last updated Jan 29, 2026

Severity

Critical

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 High
Integrity High
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:H/VI:H/VA:N/SC:N/SI:N/SA:N

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.
(3rd percentile)

Weaknesses

Improper Certificate Validation

The product does not validate, or incorrectly validates, a certificate. Learn more on MITRE.

Improper Verification of Cryptographic Signature

The product does not verify, or incorrectly verifies, the cryptographic signature for data. Learn more on MITRE.

CVE ID

CVE-2026-22696

GHSA ID

GHSA-796p-j2gh-9m2q

Source code

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