CVE-2026-22696
21h28 +00:00
Deskripsi CVE
dcap-qvl has Missing Verification for QE Identity
dcap-qvl implements the quote verification logic for DCAP (Data Center Attestation Primitives). A vulnerability present in versions prior to 0.3.9 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. 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. All deployments utilizing the dcap-qvl library for SGX or TDX quote verification are affected. 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`. There are no known workarounds for this vulnerability. Users must upgrade to the patched version to ensure that QE Identity collateral is properly verified.Informasi CVE
Kelemahan Terkait
| Nama Kelemahan | Sumber | |
|---|---|---|
| Improper Verification of Cryptographic Signature The product does not verify, or incorrectly verifies, the cryptographic signature for data. |
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| Improper Certificate Validation The product does not validate, or incorrectly validates, a certificate. |
Metrik
| Metrik | Skor | Tingkat keparahan | CVSS Vektor | Sumber |
|---|---|---|---|---|
| V4.0 | 9.3 | CRITICAL |
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
Informasi lebih lanjut
Base: Exploitabilty MetricsThe Exploitability metrics reflect the characteristics of the “thing that is vulnerable”, which we refer to formally as the vulnerable system. Attack Vector This metric reflects the context by which vulnerability exploitation is possible. Network The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers). 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. Low The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system. Attack Requirements This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. None The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability. Privileges Required This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. None The attacker is unauthenticated prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an 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. None The vulnerable system can be exploited without interaction from any human user, other than the attacker. Examples include: a remote attacker is able to send packets to a target system a locally authenticated attacker executes code to elevate privileges Base: Impact MetricsThe Impact metrics capture the effects of a successfully exploited vulnerability. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve. Confidentiality Impact This metric measures the impact to the confidentiality of the information managed by the system due to a successfully exploited vulnerability. High There is a total loss of confidentiality, resulting in all information within the Vulnerable System being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server. Integrity Impact This metric measures the impact to integrity of a successfully exploited vulnerability. High There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the Vulnerable System. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to the Vulnerable System. Availability Impact This metric measures the impact to the availability of the impacted system resulting from a successfully exploited vulnerability. None There is no impact to availability within the Vulnerable System. Sub Confidentiality Impact Negligible There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System. Sub Integrity Impact None There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System. Sub Availability Impact None There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System. Threat MetricsThe Threat metrics measure the current state of exploit techniques or code availability for a vulnerability. Environmental MetricsThese metrics enable the consumer analyst to customize the resulting score depending on the importance of the affected IT asset to a user’s organization, measured in terms of complementary/alternative security controls in place, Confidentiality, Integrity, and Availability. The metrics are the modified equivalent of Base metrics and are assigned values based on the system placement within organizational infrastructure. Supplemental MetricsSupplemental metric group provides new metrics that describe and measure additional extrinsic attributes of a vulnerability. While the assessment of Supplemental metrics is provisioned by the provider, the usage and response plan of each metric within the Supplemental metric group is determined by the consumer. |
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Referensi
Tags : x_refsource_CONFIRM
