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GHSA-3wf4-68gx-mph8: Firebase JavaScript SDK allows attackers to manipulate the "_authTokenSyncURL" to point to their own server

Firebase JavaScript SDK utilizes a "FIREBASE_DEFAULTS" cookie to store configuration data, including an "_authTokenSyncURL" field used for session synchronization. If this cookie field is preset via an attacker by any other method, the attacker can manipulate the "_authTokenSyncURL" to point to their own server and it would allow am actor to capture user session data transmitted by the SDK. We recommend upgrading Firebase JS SDK at least to 10.9.0.

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#vulnerability#web#js#java#auth
Mozilla 0Din Warns of ChatGPT Sandbox Flaws Enabling Python Execution

Mozilla’s 0Din uncovers critical flaws in ChatGPT’s sandbox, allowing Python code execution and access to internal configurations. OpenAI…

GHSA-w3c8-7r8f-9jp8: Spring MVC controller vulnerable to a DoS attack

Spring MVC controller methods with an @RequestBody byte[] method parameter are vulnerable to a DoS attack.

Urgent: Critical WordPress Plugin Vulnerability Exposes Over 4 Million Sites

A critical authentication bypass vulnerability has been disclosed in the Really Simple Security (formerly Really Simple SSL) plugin for WordPress that, if successfully exploited, could grant an attacker to remotely gain full administrative access to a susceptible site. The vulnerability, tracked as CVE-2024-10924 (CVSS score: 9.8), impacts both free and premium versions of the plugin. The

Security of LLMs and LLM systems: Key risks and safeguards

Now that large language models (LLMs) and LLM systems are flourishing, it’s important to reflect upon their security, the risks affecting them and the security controls to reduce these risks to acceptable levels.First of all, let’s differentiate between LLMs and LLM systems. This difference is key when analyzing the risks and the countermeasures that need to be applied. An LLM is an algorithm designed to analyze data, identify patterns and make predictions based on that data. A LLM system is a piece of software composed of artificial intelligence (AI) components, which includes a LLM along

GHSA-3jrv-jgp8-45v3: Undertow incorrectly parses cookies

A flaw was found in Undertow, which incorrectly parses cookies with certain value-delimiting characters in incoming requests. This issue could allow an attacker to construct a cookie value to exfiltrate HttpOnly cookie values or spoof arbitrary additional cookie values, leading to unauthorized data access or modification. The main threat from this flaw impacts data confidentiality and integrity.

GHSA-2ppf-2m6f-6v6f: OpenStack improperly deletes access rules

A flaw was found in OpenStack. When a user tries to delete a non-existing access rule in it's scope, it deletes other existing access rules which are not associated with any application credentials.

GHSA-hvw5-3mgw-7rcf: Debezium database connector has a script injection vulnerability

A script injection vulnerability was found in the Debezium database connector, where it does not properly sanitize some parameters. This flaw allows an attacker to send a malicious request to inject a parameter that may allow the viewing of unauthorized data.

GHSA-h7wq-jj8r-qm7p: Kubernetes Nil pointer dereference in KCM after v1 HPA patch request

A flaw was found in kube-controller-manager. This issue occurs when the initial application of a HPA config YAML lacking a .spec.behavior.scaleUp block causes a denial of service due to KCM pods going into restart churn.

Cybersecurity Flaws in US Drinking Water Systems Put 26 Million at Risk

The U.S. Environmental Protection Agency (EPA) Report Exposes Cybersecurity Risks in US Water Systems: Vulnerabilities in Critical Drinking…