IBM Planning Analytics 2.0 and 2.1 could be vulnerable to malicious file upload by not validating the type of file in the File Manager T1 process. Attackers can make use of this weakness and upload malicious executable files into the system that can be sent to victims for performing further attacks.
IBM Planning Analytics 2.0 and 2.1 could be vulnerable to malicious file upload by not validating the content of the file uploaded to the web interface. Attackers can make use of this weakness and upload malicious executable files into the system, and it can be sent to victim for performing further attacks.
ClassGraph before 4.8.112 was not resistant to XML eXternal Entity (XXE) attacks.
Node.js ip module is vulnerable to server-side request forgery, caused by a flaw with IP addresses are improperly categorized as globally routable via isPublic. By sending a specially crafted request, an attacker could exploit this vulnerability to conduct SSRF attack.
IBM Planning Analytics Local 2.0 could allow a remote attacker to upload arbitrary files, caused by the improper validation of file extensions. By sending a specially crafted HTTP request, a remote attacker could exploit this vulnerability to upload a malicious script, which could allow the attacker to execute arbitrary code on the vulnerable system. IBM X-Force ID: 265567.
A vulnerability has been discovered in Node.js version 20, specifically within the experimental permission model. This flaw relates to improper handling of path traversal bypass when verifying file permissions.
Please note that at the time this CVE was issued, the permission model is an experimental feature of Node.js.
A vulnerability has been identified in Node.js version 20, affecting users of the experimental permission model when the --allow-fs-read flag is used with a non- argument. This flaw arises from an inadequate permission model that fails to restrict file watching through the fs.watchFile API. As a result, malicious actors can monitor files that they do not have explicit read access to.
Please note that at the time this CVE was issued, the permission model is an experimental feature of Node.js.
A vulnerability in Node.js version 20 allows for bypassing restrictions set by the --experimental-permission flag using the built-in inspector module (node:inspector).
By exploiting the Worker class's ability to create an "internal worker" with the kIsInternal Symbol, attackers can modify the isInternal value when an inspector is attached within the Worker constructor before initializing a new WorkerImpl. This vulnerability exclusively affects Node.js users employing the permission model mechanism.
Please note that at the time this CVE was issued, the permission model is an experimental feature of Node.js.
fs.openAsBlob() can bypass the experimental permission model when using the file system read restriction with the --allow-fs-read flag in Node.js 20. This flaw arises from a missing check in the fs.openAsBlob() API.
Please note that at the time this CVE was issued, the permission model is an experimental feature of Node.js.
IBM Planning Analytics on Cloud Pak for Data 4.0 could allow an attacker on a shared network to obtain sensitive information caused by insecure network communication. IBM X-Force ID: 247898.
Node.js could allow a remote attacker to obtain sensitive information, caused by the failure to restrict file stats through the fs.statfs API in the permission model. By using the --allow-fs-read flag with a non- argument, an attacker could exploit this vulnerability to retrieve stats from files that they do not have explicit read access to.
Node.js could allow a remote attacker to bypass security restrictions, caused by the use of the deprecated API process.binding(). By using a path traversal sequence, an attacker could exploit this vulnerability to bypass the permission model.
fs.mkdtemp() and fs.mkdtempSync() can be used to bypass the permission model check using a path traversal attack. This flaw arises from a missing check in the fs.mkdtemp() API and the impact is a malicious actor could create an arbitrary directory.
This vulnerability affects all users using the experimental permission model in Node.js 20.
Please note that at the time this CVE was issued, the permission model is an experimental feature of Node.js.
A vulnerability has been discovered in Node.js version 20, specifically within the experimental permission model. This flaw relates to improper handling of Buffers in file system APIs causing a traversal path to bypass when verifying file permissions.
This vulnerability affects all users using the experimental permission model in Node.js 20.
Please note that at the time this CVE was issued, the permission model is an experimental feature of Node.js.
HackerOne: CVE-2023-32002 Node.js Module.load() policy Remote Code Execution Vulnerability
A privilege escalation vulnerability exists in Node.js 20 that allowed loading arbitrary OpenSSL engines when the experimental permission model is enabled, which can bypass and/or disable the permission model. The attack complexity is high. However, the crypto.setEngine() API can be used to bypass the permission model when called with a compatible OpenSSL engine. The OpenSSL engine can, for example, disable the permission model in the host process by manipulating the process's stack memory to locate the permission model Permission::enabled in the host process's heap memory. Please note that at the time this CVE was issued, the permission model is an experimental feature of Node.js.
IBM Planning Analytics Cartridge for Cloud Pak for Data 4.0 connects to a CouchDB server. An attacker can exploit an insecure password policy to the CouchDB server and collect sensitive information from the database. IBM X-Force ID: 247905.
IBM Planning Analytics connects to a CouchDB server. An attacker can exploit an insecure password policy to the CouchDB server and collect sensitive information from the database.
IBM Planning Analytics on Cloud Pak for Data exposes sensitive information in logs which could lead an attacker to exploit this vulnerability to conduct further attacks.
A vulnerability has been discovered in Node.js, where the use of proto in process.mainModule.proto.require() can bypass the policy mechanism and require modules outside of the policy.json definition.
IBM Planning Analytics Local 2.0 is vulnerable to stored cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 250454.
(CVE-2022-36021) String matching commands (like SCAN or KEYS) with a specially crafted pattern to trigger a denial-of-service attack on Redis, causing it to hang and consume 100% CPU time. https://github.com/gentoo/gentoo/pull/29860
(CVE-2023-25155) Specially crafted SRANDMEMBER, ZRANDMEMBER, and HRANDFIELD commands can trigger an integer overflow, resulting in a runtime assertion and termination of the Redis server process. https://github.com/gentoo/gentoo/pull/29860
Node.js jailed module could allow a remote attacker to bypass security restrictions, caused by a flaw in the Node.js jailed module. By sending a specially-crafted request, an attacker could exploit this vulnerability to perform sandbox bypass to access the main application.
IBM Planning Analytics 2.0 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks. IBM X-Force ID: 219736.
IBM Planning Analytics 2.0 and IBM Cognos Analytics 11.2.1, 11.2.0, and 11.1.7 are vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 214349.
IBM Planning Analytics 2.0 could allow a remote attacker to obtain sensitive information, caused by the failure to set the HTTPOnly flag. A remote attacker could exploit this vulnerability to obtain sensitive information from the cookie. IBM X-Force ID: 198755.