CVE-2026-95308 in Chrome
Summary
by MITRE • 09/29/2026
Integer overflow in Metrics in Google Chrome prior to 154.0.8037.57 allowed a remote attacker who had compromised the renderer process to potentially read memory outside the sandbox via a crafted HTML page. (Chromium security severity: Low)
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Analysis
by VulDB Data Team • 09/29/2026
The vulnerability identified as an integer overflow within the Metrics component of Google Chrome prior to version 154.0.8037.57 represents a critical failure in boundary checking during arithmetic operations involving metric data structures. This flaw allows for miscalculations regarding memory allocation or array indexing, which can result in accessing memory locations that fall outside the intended bounds of allocated buffers. The severity is classified as low by Chromium security standards because the exploitation requires an initial foothold within the renderer process sandbox, indicating that this vulnerability serves primarily as a privilege escalation vector rather than a direct entry point from untrusted web content.
From a technical perspective, integer overflows occur when an arithmetic operation produces a result too large to be represented within the allocated storage type. In the context of browser metrics collection or reporting mechanisms, such miscalculations can lead to buffer under-reads or over-reads. When the renderer process executes code that interacts with these flawed metric structures, it may request access to memory addresses that are not mapped to its current execution context or sandbox boundaries. This discrepancy enables an attacker who has already compromised the renderer through a separate vulnerability to read arbitrary memory contents, potentially leaking sensitive information such as cookies, session tokens, or other process-local data that should remain isolated from web content.
The operational impact of this vulnerability is significant in scenarios where multiple vulnerabilities are chained together. While the standalone risk is mitigated by Chrome's robust sandboxing architecture, which restricts renderer processes from accessing browser memory directly, an attacker leveraging this integer overflow can bypass these restrictions to perform out-of-bounds reads. This capability facilitates information disclosure attacks that could aid further exploitation or reconnaissance within the victim system. The ability to read outside the sandbox undermines the fundamental security model of modern browsers, where each tab and extension runs in a separate process with limited privileges to prevent cross-site scripting and other web-based attacks from escalating into full system compromise.
Mitigation strategies for this vulnerability primarily involve updating Google Chrome to version 154.0.8037.57 or later, which includes patches that enforce strict bounds checking on metric-related arithmetic operations. Security engineers should also ensure that browser auto-update mechanisms are enabled to receive timely security fixes. Additionally, organizations can employ application whitelisting and restrict the execution of untrusted scripts within renderer processes to reduce the attack surface for initial compromise vectors that might lead to this escalation path. Monitoring for anomalous memory access patterns in endpoint detection systems may also help identify attempts to exploit such sandbox escape techniques before they result in data exfiltration.
This vulnerability aligns with Common Weakness Enumeration (CWE) ID 190, which describes integer overflow or wraparound errors that can lead to various downstream security issues including buffer overflows and out-of-bounds accesses. In terms of the MITRE ATT&CK framework, this flaw relates to techniques involving sandbox escape and privilege escalation within a compromised environment. Specifically, it supports tactics related to Defense Evasion by allowing an attacker to bypass process isolation mechanisms that are designed to contain malicious activity within specific execution contexts. Understanding these mappings helps security teams prioritize patching efforts based on the potential for lateral movement and data theft following an initial renderer compromise.