CVE-2026-53933 Vulnerability Analysis & Exploit Details

CVE-2026-53933
Vulnerability Scoring

Analysis In Progress
Analysis In Progress

Attack Complexity Details

  • Attack Complexity:
    Attack Complexity Analysis In Progress
  • Attack Vector:
    Attack Vector Under Analysis
  • Privileges Required: None
    No authentication is required for exploitation.
  • Scope:
    Impact is confined to the initially vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2026-53933 Details

Status: Deferred

Last updated: 🕢 10 Sep 2026, 19:58 UTC
Originally published on: 🕙 08 Sep 2026, 22:18 UTC

Time between publication and last update: 1 days

CVSS Release:

CVE-2026-53933 Vulnerability Summary

CVE-2026-53933: Maravel, a PHP framework oriented towards dependency injection, prior to version 10.73.1 has a side-channel information disclosure issue. When a route was compiled with dynamic placeholders (e.g., `/api/v1/users/{id}`), the raw string placeholder key was mistakenly registered into the flat static route checklist. An attacker scanning endpoints could intentionally pass the literal template syntax (e.g., `GET /api/v1/users/{id}`) to force an unexpected match against the static map. Because the dynamic tree engine was bypassed, no arguments were captured. This forced modern PHP 8+ versions to throw a native `ArgumentCountError`, resulting in a 500 Internal Server Error instead of a uniform 404 Not Found. By tracking which fuzz patterns exploded into a 500 error, a malicious actor could programmatically profile and map out internal route parameter names and controller schemas. Version 10.73.1 contains a patch. As a workaround, mitigate this side-channel leak by implementing a defensive check in a global middleware. This will reject any literal brace patterns before they reach the router engine.

Assessing the Risk of CVE-2026-53933

Access Complexity Graph

The exploitability of CVE-2026-53933 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2026-53933

No exploitability data is available for CVE-2026-53933.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2026-53933, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2026-53933, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2026-53933 does not compromise confidentiality.
  • Integrity: None
    CVE-2026-53933 does not impact data integrity.
  • Availability: None
    CVE-2026-53933 does not affect system availability.

CVE-2026-53933 References

External References

CWE Common Weakness Enumeration

CWE-203

CAPEC Common Attack Pattern Enumeration and Classification

  • Black Box Reverse Engineering CAPEC-189 An adversary discovers the structure, function, and composition of a type of computer software through black box analysis techniques. 'Black Box' methods involve interacting with the software indirectly, in the absence of direct access to the executable object. Such analysis typically involves interacting with the software at the boundaries of where the software interfaces with a larger execution environment, such as input-output vectors, libraries, or APIs. Black Box Reverse Engineering also refers to gathering physical side effects of a hardware device, such as electromagnetic radiation or sounds.

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