CVE-2026-107376 Vulnerability Analysis & Exploit Details

CVE-2026-107376
Vulnerability Scoring

8.2
/10
Severe Risk

Cybersecurity professionals consider CVE-2026-107376 an immediate threat requiring urgent mitigation.

Attack Complexity Details

  • Attack Complexity: Low
    Exploits can be performed without significant complexity or special conditions.
  • Attack Vector: Network
    Vulnerability is exploitable over a network without physical access.
  • Privileges Required: None
    No privileges are required for exploitation.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2026-107376 Details

Status: Received on 08 Oct 2026, 18:17 UTC

Published on: 08 Oct 2026, 18:17 UTC

CVSS Release: version 3

CVSS3 Source

security-advisories@github.com

CVSS3 Type

Secondary

CVSS3 Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H

CVE-2026-107376 Vulnerability Summary

CVE-2026-107376: webonyx graphql-php is a PHP implementation of the GraphQL specification. Prior to 15.32.3, GraphQL\Language\Parser performs recursive descent without a recursion limit in parseSelectionSet, parseValueLiteral, and parseTypeReference. A remote attacker can submit deeply nested selection sets, object or list values, or list types that exhaust the PHP process stack during pre-validation parsing, before query validation and complexity controls run. The resulting SIGSEGV can terminate PHP-FPM workers or long-running Swoole, RoadRunner, ReactPHP, or CLI processes and cannot be caught by application-level exception handling. This issue is fixed in version 15.32.3.

Assessing the Risk of CVE-2026-107376

Access Complexity Graph

The exploitability of CVE-2026-107376 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-2026-107376

With low attack complexity and no required privileges, CVE-2026-107376 is an easy target for cybercriminals. Organizations should prioritize immediate mitigation measures to prevent unauthorized access and data breaches.

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-2026-107376, 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-2026-107376, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2026-107376 has no significant impact on data confidentiality.
  • Integrity: Low
    Exploiting CVE-2026-107376 may cause minor changes to data without severely impacting its accuracy.
  • Availability: High
    CVE-2026-107376 can disrupt system operations, potentially causing complete denial of service (DoS).

CVE-2026-107376 References

External References

CWE Common Weakness Enumeration

CWE-674

CAPEC Common Attack Pattern Enumeration and Classification

  • Serialized Data with Nested Payloads CAPEC-230 Applications often need to transform data in and out of a data format (e.g., XML and YAML) by using a parser. It may be possible for an adversary to inject data that may have an adverse effect on the parser when it is being processed. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. By nesting these structures, causing the data to be repeatedly substituted, an adversary can cause the parser to consume more resources while processing, causing excessive memory consumption and CPU utilization.
  • Oversized Serialized Data Payloads CAPEC-231 An adversary injects oversized serialized data payloads into a parser during data processing to produce adverse effects upon the parser such as exhausting system resources and arbitrary code execution.

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