Skip to content

@angular/service-worker: Request Credential & Cache Policy Stripping

Moderate severity GitHub Reviewed Published May 28, 2026 in angular/angular • Updated Jun 15, 2026

Package

npm @angular/service-worker (npm)

Affected versions

>= 22.0.0-next.0, < 22.0.0-rc.2
>= 21.0.0-next.0, < 21.2.15
>= 20.0.0-next.0, < 20.3.22
>= 19.0.0-next.0, < 19.2.23
<= 18.2.14

Patched versions

22.0.0-rc.2
21.2.15
20.3.22
19.2.23

Description

An issue in the @angular/service-worker package compromises the integrity of request-policy enforcement during request reconstruction. When the Angular Service Worker intercepts network requests for matched assets, it reconstructs a new Request object using an internal helper function.

During this reconstruction process, the helper function strips explicit client-defined safety parameters: the credentials configuration (such as credentials: 'omit') and the HTTP cache mode configuration (such as cache: 'no-store'). These are reverted back to standard browser-default parameters (credentials: 'same-origin' and default HTTP cache properties).

This causes the browser to include active credentials (such as cookies or Authorization headers) on outbound requests where the client-side developer explicitly instructed they should be omitted, leading to potential session leaks. Additionally, it causes private or non-cacheable resources to be cached by the service worker's engine, making private page states accessible or persistent inside the client's local cache post-logout.

Impact

Web applications registering the @angular/service-worker package are vulnerable to credential exposure or post-logout cache persistence if client-side code relies on fetch calls with explicit safety attributes (such as { credentials: 'omit' } or { cache: 'no-store' }) targeting paths matched by service worker asset groups.

By stripping these safety boundaries, the service worker exposes same-origin cookies and dynamic sensitive data to endpoints that should not receive them, or retains dynamic user sessions in cache storage where logout operations fail to fully evict user records.

Attack Preconditions

To successfully exploit this vulnerability, all of the following application states and parameters must concurrently exist:

  1. Active Angular Service Worker: The target application uses @angular/service-worker and has an active registration of ngsw-worker.js inside the client's browser context.
  2. Asset Group Matching: An assetGroups pattern in ngsw-config.json encompasses the target dynamic routing endpoint.
  3. Established User Session: The victim user currently has an active authentication state, such as valid same-origin session cookies or auth headers stored by the browser.
  4. Client-Side Safe Fetch Call: The application initiates an explicit fetch request to the route with safety parameters: { credentials: 'omit' } or specific cache control parameters (e.g. { cache: 'no-store' }).

Mitigations & Workarounds

If upgrading the @angular/service-worker package is not immediately feasible, developers should implement the following defensive measures:

  • Strict Cookie Configuration: Apply strict flags to session cookies (SameSite=Strict; Secure; HttpOnly) and ensure complete route isolation for credential-guarded secure resources.
  • Exclude Secure Endpoints from SW Config: Ensure that patterns targeting dynamic, secure endpoints are explicitly excluded from automatic asset groups or caching scopes in your ngsw-config.json.
  • Post-Logout Cache Invalidation: Programmatically purge the browser's Cache Storage API entries registered by the Angular Service Worker upon user logout:
    if ('caches' in window) {
      caches.keys().then(names => {
        for (let name of names) {
          if (name.startsWith('ngsw:')) {
            caches.delete(name);
          }
        }
      });
    }

Patches

  • 22.0.0-rc.2
  • 21.2.15
  • 20.3.22
  • 19.2.23

References

@alan-agius4 alan-agius4 published to angular/angular May 28, 2026
Published to the GitHub Advisory Database Jun 15, 2026
Reviewed Jun 15, 2026
Last updated Jun 15, 2026

Severity

Moderate

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 Local
Attack Complexity High
Attack Requirements Present
Privileges Required None
User interaction Passive
Vulnerable System Impact Metrics
Confidentiality High
Integrity None
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:L/AC:H/AT:P/PR:N/UI:P/VC:H/VI:N/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.
(2nd percentile)

Weaknesses

Exposure of Sensitive Information to an Unauthorized Actor

The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Learn more on MITRE.

Use of Cache Containing Sensitive Information

The code uses a cache that contains sensitive information, but the cache can be read by an actor outside of the intended control sphere. Learn more on MITRE.

CVE ID

CVE-2026-50184

GHSA ID

GHSA-95qp-cmmw-mgqv

Source code

Credits

Loading Checking history
See something to contribute? Suggest improvements for this vulnerability.