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Phalcon: Non-constant-time HMAC verification in `Encryption\Crypt::decrypt` (timing side-channel)

High severity GitHub Reviewed Published Jun 16, 2026 in phalcon/cphalcon • Updated Aug 28, 2026

Package

composer phalcon/cphalcon (Composer)

Affected versions

<= 5.14.0

Patched versions

5.14.1

Description

Summary

Phalcon\Encryption\Crypt provides authenticated encryption: when useSigning is enabled (the default), encrypt() appends an HMAC tag and decrypt() verifies it before returning the plaintext. The verification compares the attacker-supplied tag against the freshly computed HMAC using PHP/Zephir identity comparison (!==), which the Zephir compiler lowers to !ZEPHIR_IS_IDENTICAL(...) — a byte-wise memcmp that returns early on the first differing byte. The comparison time therefore depends on how many leading bytes of the supplied tag are correct, a classic MAC-verification timing side-channel. Every other secret/MAC comparison in the framework uses the constant-time hash_equals() (zephir_hash_equals) — the CSRF token check (Security::checkToken) and the JWT signature check (Signer\Hmac::verify); Crypt::decrypt is the lone deviation.

Details

Vulnerable code

phalcon/Encryption/Crypt.zep:246 (Zephir source):

if true === this->useSigning {
    // Checks on the decrypted message digest using the HMAC method.
    if digest !== hash_hmac(hashAlgorithm, padded, decryptKey, true) {
        throw new Mismatch("Hash does not match.");
    }
}

Generated C --> ext/phalcon/encryption/crypt.zep.c:364-367:

ZEPHIR_CALL_FUNCTION(&_8$$7, "hash_hmac", NULL, 245, &hashAlgorithm, &padded, &decryptKey, &__$true);
...
if (!ZEPHIR_IS_IDENTICAL(&digest, &_8$$7)) {                 // <-- non-constant-time
    ZEPHIR_THROW_EXCEPTION_DEBUG_STR(..., "Hash does not match.", "phalcon/Encryption/Crypt.zep", 247);

ZEPHIR_IS_IDENTICAL --> zephir_is_identical() (ext/kernel/operators.c:472) --> Zend is_identical_function --> for equal-length strings a memcmp that exits on the first mismatching byte (data-dependent timing).

Impact

The HMAC is the integrity/authentication tag of Phalcon's authenticated-encryption scheme. A successful timing attack (Keyczar/CVE-2009-0654-style: fix the IV+ciphertext so the target tag is constant, then recover it byte-by-byte from response timing) yields a tag the attacker can attach to a chosen IV+ciphertext so that decrypt() accepts it as authentic, defeating the integrity guarantee. Combined with CFB malleability (flipping a ciphertext byte flips the corresponding plaintext byte), an attacker who recovers the forging capability can tamper with the decrypted contents the application trusts (e.g. encrypted cookies carrying authorization/identity state). There is no confidentiality break by itself.

Suggested fix

Replace the identity comparison with the constant-time helper already used elsewhere in the framework. In phalcon/Encryption/Crypt.zep:246:

// before
if digest !== hash_hmac(hashAlgorithm, padded, decryptKey, true) {
    throw new Mismatch("Hash does not match.");
}
// after
if true !== hash_equals(hash_hmac(hashAlgorithm, padded, decryptKey, true), digest) {
    throw new Mismatch("Hash does not match.");
}

hash_equals() returns false for unequal-length inputs, so it also covers the truncated-tag case. Optional further hardening: verify the MAC before unpadding (functionally moot here because cryptUnpadText never throws) and consider migrating the default toward an AEAD mode such as aes-256-gcm.

Addressed Issue:

Patched Stream:

References

@niden niden published to phalcon/cphalcon Jun 16, 2026
Published by the National Vulnerability Database Jul 10, 2026
Published to the GitHub Advisory Database Aug 28, 2026
Reviewed Aug 28, 2026
Last updated Aug 28, 2026

Severity

High

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 High
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
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:H/AT:N/PR:N/UI:N/VC:N/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.
(7th percentile)

Weaknesses

Observable Timing Discrepancy

Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not. 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-2026-54736

GHSA ID

GHSA-8jqh-95g6-7jpj

Source code

Credits

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