RHSA-2026:74872
Vulnerability from csaf_redhat - Published: 2026-10-02 10:28 - Updated: 2026-10-02 22:10Summary
Red Hat Security Advisory: Red Hat Hardened Images RPMs Security Update
Severity
Important
Notes
Topic: An update for Red Hat Hardened Images RPMs is now available.
Details: This update includes the following RPMs:
grafana13.2:
* grafana13.2-13.2.1-0.9.hum1 (aarch64, x86_64)
* grafana13.2-13.2.1-0.9.hum1.src (src)
Security Fix(es):
grafana13.2:
* CVE-2026-101903
Terms of Use: This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
A flaw was found in axios. When processing HTTP/2 requests, the client fails to enforce configured proxy settings and custom Domain Name System (DNS) resolution policies. A remote attacker who can influence destination URLs could exploit this vulnerability to bypass outbound network restrictions, potentially leading to Server-Side Request Forgery (SSRF). This may allow unauthorized communication with internal network services or cloud metadata endpoints that should otherwise be blocked.
4.8 (Medium)
Affected products
Fixed
3 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: Red Hat Hardened Images:grafana13.2-0:13.2.1-0.9.hum1@aarch64 | — |
Vendor Fix
fix
|
|
| Unresolved product id: Red Hat Hardened Images:grafana13.2-0:13.2.1-0.9.hum1@src | — |
Vendor Fix
fix
|
|
| Unresolved product id: Red Hat Hardened Images:grafana13.2-0:13.2.1-0.9.hum1@x86_64 | — |
Vendor Fix
fix
|
Threats
Impact
Moderate
A flaw was found in Axios. This vulnerability allows an attacker to manipulate outbound network traffic by injecting arbitrary HTTP (Hypertext Transfer Protocol) headers. In environments where an attacker can exploit a separate prototype pollution flaw to modify shared object properties, the Axios fetch adapter improperly processes inherited configuration methods on request data. Consequently, an attacker can tamper with outgoing requests, potentially bypassing security controls, altering authentication tokens, or modifying backend service behavior.
6.5 (Medium)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Moderate
A flaw was found in Axios. A remote attacker or an unresponsive endpoint can cause a Denial of Service (DoS) by triggering an error during HTTP/2 session initialization or reuse. Because the underlying session fails to register proper error handlers, network or session failures result in an uncaught exception that abruptly terminates the application process.
7.5 (High)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Important
A flaw was found in axios. When sending HTTP requests that omit an explicit request method, Axios can inherit properties from the JavaScript prototype chain rather than using safe internal defaults. If an attacker manipulates shared object properties through a separate vulnerability in the same application, they can exploit this behavior to override the intended request method. This allows an attacker to force expected read-only requests to be sent as state-changing methods such as POST or DELETE, potentially resulting in unauthorized data modification or deletion.
5.9 (Medium)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Moderate
A flaw was found in Axios. A remote attacker can exploit this vulnerability by supplying a crafted data URL containing repeated slash characters to an application that processes untrusted inputs. Due to an inefficient regular expression used to parse the URL, handling the malformed input triggers excessive backtracking that blocks the main execution thread. This freezes application processing and causes a Denial of Service (DoS).
7.5 (High)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Important
A flaw was found in Axios. If a separate vulnerability modifies shared object properties (prototype pollution) in the application environment, Axios may inherit those properties when processing request configurations rebuilt without explicit headers. An attacker can exploit this condition to inject unauthorized HTTP headers into outgoing network requests. This issue can lead to improper request routing, access control bypasses, or downstream cache poisoning.
6.5 (Medium)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Moderate
A flaw was found in axios. When running in Node.js, the HTTP adapter does not define an explicit connection creation setting on outgoing request options. If a separate prototype-pollution flaw is exploited in the same process, an attacker can hijack the network socket by injecting a malicious connection handler. This allows the attacker to redirect outbound requests to an attacker-controlled server, resulting in information disclosure of sensitive credentials and the ability to return forged responses.
7.4 (High)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Important
A flaw was found in axios. A remote attacker operating a malicious server can cause a Denial of Service (DoS) by returning an HTTP redirect containing a crafted hostname. When proxy bypass settings are configured, the application processes the hostname with an inefficient regular expression that consumes excessive computational time. This processing blocks the application's execution thread, leaving the service unresponsive to other requests.
7.5 (High)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Important
A flaw was found in Axios. When configured to use the fetch adapter, the application does not enforce settings configured to disable HTTP redirects. A remote attacker controlling a redirecting server can exploit this behavior to force the application to follow redirects to internal endpoints, resulting in Server-Side Request Forgery (SSRF). This flaw can allow attackers to access internal services and expose sensitive data or trigger state-changing actions on internal systems.
6.5 (Medium)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Moderate
A flaw was found in Axios. When using the fetch adapter, Axios fails to properly isolate request configuration options from inherited object properties. If an attacker first exploits a separate prototype pollution vulnerability (where shared JavaScript object properties are modified) within the application, the fetch adapter can inherit those manipulated headers into outbound network calls. This allows an attacker to alter outgoing requests, potentially bypassing authorization controls, corrupting cache behavior, or accessing restricted internal services.
6.5 (Medium)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Moderate
A flaw was found in axios. In applications affected by prototype pollution, where an attacker can modify base JavaScript object properties, axios processes inherited options during form data serialization without verifying property ownership. An attacker can leverage this behavior to trigger a Denial of Service (DoS) by causing requests to fail, alter outgoing serialized request data, or potentially execute arbitrary code if function injection is possible.
8.2 (High)
Affected products
Fixed
3 products, the same list as for
CVE-2026-101898
Threats
Impact
Important
References
75 references
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"title": "axios: axios: Request socket hijacking via inherited createConnection property"
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H",
"version": "3.1"
},
"products": [
"Red Hat Hardened Images:grafana13.2-0:13.2.1-0.9.hum1@aarch64",
"Red Hat Hardened Images:grafana13.2-0:13.2.1-0.9.hum1@src",
"Red Hat Hardened Images:grafana13.2-0:13.2.1-0.9.hum1@x86_64"
]
}
],
"threats": [
{
"category": "impact",
"details": "Important"
}
],
"title": "axios: axios: Denial of Service via prototype pollution gadget in form serialization"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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