A flaw was found in migration-planner. An authenticated user can exploit this vulnerability by sending a DELETE request to the /api/v1/sources route, which lacks proper authorization and filtering. This allows for the destruction of all customer data, including sources, agents, and assessments, leading to a critical loss of availability and integrity across the entire SaaS platform.
A flaw was found in migration-planner. An authenticated attacker could exploit an improper access control vulnerability in the `/api/v1/sources/{id}/image-url` endpoint. This flaw allows the attacker to bypass an ownership check and obtain presigned S3 URLs for Open Virtual Appliance (OVA) images belonging to other users. Consequently, the attacker can download OVA images containing sensitive information, such as long-lived agent JSON Web Tokens (JWTs) and source configurations, potentially leading to unauthorized access and modification of the victim's source.
A flaw was found in migration-planner. The agent-API middleware processes JSON Web Tokens (JWTs) for authentication, but its UpdateSourceInventory and UpdateAgentStatus handlers fail to validate the source_id claim within these tokens against the requested source ID. This oversight allows an authenticated attacker with a valid agent token to manipulate data across different tenants, leading to a complete collapse of tenant isolation. This could result in unauthorized overwriting of victim inventory, planting of malicious credential URLs, or corruption of migration assessments.
A flaw was found in migration-planner-ui-app. An attacker can register a malicious discovery agent with a specially crafted credentialUrl containing JavaScript code. When an organizational user clicks this link in the user interface, the embedded malicious code executes within the user's browser session. This cross-site scripting (XSS) vulnerability allows the attacker to compromise the victim's Red Hat Single Sign-On (SSO) session, potentially leading to unauthorized cross-tenant data access and API actions.
A flaw was found in migration-planner. A remote authenticated attacker could exploit this vulnerability by uploading a specially crafted RVTools .xlsx file. Due to improper input sanitization, malicious SQL embedded within a spreadsheet cell is executed when cluster names are processed. This SQL Injection allows for arbitrary file reading on the system, potentially exposing sensitive information such as Kubernetes service account tokens and other credentials, which could lead to a full compromise of the SaaS environment.
Jenkins 2.483 through 2.567 (both inclusive), LTS 2.492.1 through 2.555.2 (both inclusive) does not escape the user-provided description of a generic offline cause that could be set through the `POST config.xml` API, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Agent/Configure permission.
Jenkins 2.567 and earlier, LTS 2.555.2 and earlier does not encrypt secrets from POST config.xml submissions before storing them in job configurations unencrypted in job config.xml files on the Jenkins controller where they can be viewed by users with Item/Extended Read permission, or access to the Jenkins controller file system.
Ghidra before 12.1 contains a heap-use-after-free vulnerability in the decompiler's HighVariable::merge() function during the variable merging pass. Attackers can trigger this vulnerability by crafting a binary that causes stale pointers in the HighIntersectTest::highedgemap cache to be dereferenced, reading and writing the flags field of freed heap memory when a user opens the binary in Ghidra's decompiler view.
Ghidra before 12.1 contains a SQL injection vulnerability in BSim filter types that concatenate user-supplied values directly into SQL queries without escaping or parameterization. Remote attackers can inject arbitrary SQL via the BSim network query protocol to read, modify, or delete data in the PostgreSQL database.
Ghidra before 12.1.1 contains an uncontrolled memory allocation vulnerability in the Mach-O binary parser that allows attackers to cause denial of service. An attacker can supply a crafted Mach-O binary with an arbitrarily large ncmds load command count value, forcing the parser to allocate excessive heap memory without validating file size, crashing the Ghidra JVM.