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| CVE | CVSS | EPSS | Vendor, product | Description | Modified |
|---|---|---|---|---|---|
| CVE-2026-64849KEVexploit ×5 | 9.3 critical | 10.0% | lfprojects, mlflow | MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0. | Mon 26 Oct |
| CVE-2026-59726exploit | 10.0 critical | 3.0% | no CPE yet | Ruflo is an agent meta-harness for Claude Code and Codex. Prior to 3.16.3, ruflo's default docker-compose deployment exposed the MCP bridge POST /mcp and POST /mcp/:group endpoints without authentication, allowing an unauthenticated network attacker to invoke tools/call to terminal_execute, obtain a shell in the bridge container, read provider API keys, and poison AgentDB learning-store patterns. This issue is fixed in version 3.16.3. | Sun 25 Oct |
| CVE-2026-41900exploit | 10.0 critical | 1.0% | th30d4y, openlearnx | OpenLearnX is an open-source, decentralized learning and assessment platform. Prior to version 2.0.3, a remote code execution (RCE) vulnerability was identified in the OpenLearnX code execution environment, allowing sandbox escape and arbitrary command execution. This issue has been patched in version 2.0.3. | Mon 26 Oct |
| CVE-2026-116692exploit | 9.8 critical | 1.0% | no CPE yet | MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, third-party scorer deserialization in mlflow/genai/scorers/base.py accepts request-selected descendants of THIRD_PARTY_SCORER_ALLOWED_MODULES rather than requiring an exact allowed module. A caller can use MLflow artifact endpoints to place a Python module beneath a writable allowed package and submit its module and class through /ajax-api/3.0/mlflow/scorer/invoke. Scorer.model_validate_json() imports the module and constructs the class before trace processing. Authentication-disabled deployments permit this code execution without credentials, while basic-auth deployments require a principal capable of creating an experiment and run and uploading artifacts. In either configuration, the allowed scorer package must be writable by the server process. This issue is fixed in version 3.17.0. | Wed 28 Oct |
| CVE-2025-11077exploit | 5.5 medium | 0.00% | campcodes, online_learning_management_system | A vulnerability was determined in Campcodes Online Learning Management System 1.0. Affected is an unknown function of the file /admin/add_content.php. Executing manipulation of the argument Title can lead to sql injection. The attack can be executed remotely. The exploit has been publicly disclosed and may be utilized. | 9 Oct |
| CVE-2025-11555exploit | 5.5 medium | 0.00% | campcodes, online_learning_management_system | A vulnerability was detected in Campcodes Online Learning Management System 1.0. This affects an unknown part of the file /admin/calendar_of_events.php. The manipulation of the argument date_start results in sql injection. The attack may be launched remotely. The exploit is now public and may be used. | 8 Oct |
| CVE-2026-32892 | 8.8 high | 2.0% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, Chamilo LMS contains an OS Command Injection vulnerability in the file move function. The move() function in fileManage.lib.php passes user-controlled path values directly into exec() shell commands without using escapeshellarg(). When a user moves a document via document.php, the move_to POST parameter — which only passes through Security::remove_XSS() (an HTML-only filter) — is concatenated directly into shell commands such as exec("mv $source $target"). By default, Chamilo allows all authenticated users to create courses (allow_users_to_create_courses = true). Any user who is a teacher in a course (including self-created courses) can move documents, making this vulnerability exploitable by any authenticated user. The attacker must first place a directory with shell metacharacters in its name on the filesystem (achievable via Course Backup Import), then move a document into that directory to trigger arbitrary command execution as the web server user (www-data). This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-63244 | 9.8 critical | 1.0% | no CPE yet | An authentication bypass vulnerability in WizLearn Technologies' Learning Management System (LMS) could allow an unauthenticated remote attacker to bypass password authentication and the OAuth authentication flow by sending a specially crafted POST request, potentially resulting in unauthorised access to user accounts and full administrative control of the LMS platform. | Fri 23 Oct |
| CVE-2026-68791 | 8.6 high | 1.0% | microsoft, azure machine learning | Incorrect authorization in Azure Machine Learning allows an unauthorized attacker to disclose information over a network. | Mon 26 Oct |
| CVE-2026-11816 | 8.1 high | 1.0% | keras | Keras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py`. The functions `filter_safe_tarinfos()` and `filter_safe_zipinfos()` validate archive member paths against the process current working directory (CWD) instead of the actual extraction destination. When the process runs with CWD set to `/`, which is common in Docker containers, CI/CD runners, and Jupyter environments, the validation boundary becomes the filesystem root, allowing traversal paths to bypass the security check. Additionally, the zip filter contains a bug that causes an `AttributeError` when a blocked entry is encountered, leading to incomplete extraction. Furthermore, Python 3.11 installations lack the `filter="data"` safety net, leaving them entirely reliant on the flawed CWD-based filter. Exploitation of this vulnerability can result in arbitrary file writes outside the intended extraction directory, enabling attackers to overwrite configuration files, inject malicious code, or corrupt machine learning datasets and pipelines. | Mon 26 Oct |
| CVE-2026-116690 | 7.5 high | 1.0% | no CPE yet | MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in _create_model_version() accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and mlflow.prompt.is_prompt is interpreted by tag presence rather than a true value. A remote caller can store a server-local path as the model version artifact location and use /api/2.0/mlflow/model-versions/get-artifact to read files accessible to the MLflow server process. Default unauthenticated servers require no privileges, while basic-auth deployments are exposed to authenticated users who can create registered models. This issue is fixed in version 3.17.0. | Wed 28 Oct |
| CVE-2025-6921 | 7.5 high | 1.0% | huggingface, transformers | The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer. The vulnerability arises from the _do_use_weight_decay method, which processes user-controlled regular expressions in the include_in_weight_decay and exclude_from_weight_decay lists. Malicious regular expressions can cause catastrophic backtracking during the re.search call, leading to 100% CPU utilization and a denial of service. This issue can be exploited by attackers who can control the patterns in these lists, potentially causing the machine learning task to hang and rendering services unresponsive. | 11 Oct |
| CVE-2026-115886 | 6.5 medium | 1.0% | no CPE yet | MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, the scorer invoke, register, and GenAI evaluate endpoints, including unauthenticated POST /ajax-api/3.0/mlflow/scorer/invoke, accept serialized third-party scorer data that Scorer.model_validate_json resolves using a module-path allowlist without constraining the selected class or its constructor arguments. When optional trulens and trulens-providers-litellm packages are installed, an attacker can select mlflow.genai.scorers.trulens, choose a model URI outside MLflow's native provider registry so execution uses the LiteLLM fallback, and supply api_base and api_key values that cause the server to send an outbound request to an attacker-chosen or internal host with attacker-controlled headers and body. The vulnerable deserialization occurs before a tracking-store lookup or job submission. This issue is fixed in version 3.17.0. | 14 h ago |
| CVE-2026-32207 | 6.1 medium | 1.0% | microsoft, azure_machine_learning | Improper neutralization of input during web page generation ('cross-site scripting') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network. | Mon 26 Oct |
| CVE-2026-115969 | 5.5 medium | 1.0% | no CPE yet | A flaw has been found in Travisun Opptrix 0.4.0. This affects an unknown function of the file /api/auth/setup of the component Schedule API. This manipulation causes command injection. It is possible to initiate the attack remotely. The exploit has been published and may be used. The project has been completely taken offline and deprecated. The project maintainer explains: "The mentioned security risk was a design flaw that manifested primarily in local environments during earlier stages of version development. We previously addressed and resolved this specific risk; however, because the project was restricted to a small learning scope and the main versions were intended to run exclusively on localhost, the security fix was only pushed directly to our GitHub repository before it went private." This vulnerability only affects products that are no longer supported by the maintainer. | Mon 26 Oct |
| CVE-2025-62608 | 5.5 medium | 1.0% | ml-explore, mlx | MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load() when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue has been patched in version 0.29.4. | 8 Oct |
| CVE-2026-56149 | 4.9 medium | 1.0% | elastic, elasticsearch | Allocation of Resources Without Limits or Throttling (CWE-770) in Elasticsearch can lead to a denial of service via Excessive Allocation (CAPEC-130). A user with elevated privileges can submit a specially crafted machine learning request that causes excessive memory consumption, which may render the affected node unavailable. | Sun 25 Oct |
| CVE-2026-42858 | 9.9 critical | 0.00% | openedx | Open edX Platform enables the authoring and delivery of online learning at any scale. The sync_provider_data endpoint in SAMLProviderDataViewSet allows authenticated Enterprise Admin users to supply an arbitrary URL via the metadata_url POST parameter. This URL is passed directly to requests.get() in fetch_metadata_xml() without any URL validation, IP filtering, or scheme enforcement. An attacker with Enterprise Admin privileges can force the server to make HTTP requests to internal network services, cloud metadata endpoints (e.g., AWS 169.254.169.254), or other attacker-controlled destinations. This vulnerability is fixed by commit 6fda1f120ff5a590d120ae1180185525f399c6d0 and 70a56246dd9c9df57c596e64bdd8a11b1d9da054. | Mon 26 Oct |
| CVE-2026-33707 | 9.8 critical | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, the default password reset mechanism generates tokens using sha1($email) with no random component, no expiration, and no rate limiting. An attacker who knows a user's email can compute the reset token and change the victim's password without authentication. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2025-58668 | 9.8 critical | 0.00% | vibethemes, wordpress_learning_management_system | Missing Authorization vulnerability in VibeThemes WPLMS wplms allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects WPLMS : from n/a through <= 4.970. | 11 Oct |
| CVE-2025-62376 | 9.5 critical | 0.00% | no CPE yet | pwn.college DOJO is an education platform for learning cybersecurity. Prior to commit 467db0b9ea0d9a929dc89b41f6eb59f7cfc68bef, the /workspace endpoint contains an improper authentication vulnerability that allows an attacker to access any active Windows VM without proper authorization. The vulnerability occurs in the view_desktop function where the user is retrieved via a URL parameter without verifying that the requester has administrative privileges. An attacker can supply any user ID and arbitrary password in the request parameters to impersonate another user. When requesting a Windows desktop service, the function does not validate the supplied password before generating access credentials, allowing the attacker to obtain an iframe source URL that grants full access to the target user's Windows VM. This impacts all users with active Windows VMs, as an attacker can access and modify data on the Windows machine and in the home directory of the associated Linux machine via the Z: drive. This issue has been patched in commit 467db0b9ea0d9a929dc89b41f6eb59f7cfc68bef. No known workarounds exist. | 8 Oct |
| CVE-2026-33698 | 9.3 critical | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38, a chained attack can enable otherwise-blocked PHP code from the main/install/ directory and allow an unauthenticated attacker to modify existing files or create new files where allowed by system permissions. This only affects portals with the main/install/ directory still present and read-accessible. This vulnerability is fixed in 1.11.38. | Mon 26 Oct |
| CVE-2026-31940 | 8.8 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, in main/lp/aicc_hacp.php, user-controlled request parameters are directly used to set the PHP session ID before loading global bootstrap. This leads to session fixation. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-35610 | 8.8 high | 0.00% | polarlearn | PolarLearn is a free and open-source learning program. In 0-PRERELEASE-14 and earlier, setCustomPassword(userId, password) and deleteUser(userId) in the account-management module used an inverted admin check. Because of the inverted condition, authenticated non-admin users were allowed to execute both actions, while real admins were rejected. This is a direct privilege-escalation issue in the application. | Mon 26 Oct |
| CVE-2026-32931 | 8.8 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, an unrestricted file upload vulnerability in the exercise sound upload function allows an authenticated teacher to upload a PHP webshell by spoofing the Content-Type header to audio/mpeg. The uploaded file retains its original .php extension and is placed in a web-accessible directory, enabling Remote Code Execution as the web server user (www-data). This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-33618 | 8.8 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to .0.0-RC.3, the PlatformConfigurationController::decodeSettingArray() method uses PHP's eval() to parse platform settings from the database. An attacker with admin access (obtainable via Advisory 1) can inject arbitrary PHP code into the settings, which is then executed when any user (including unauthenticated) requests /platform-config/list. This vulnerability is fixed in 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-33704 | 8.8 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38, any authenticated user (including students) can write arbitrary content to files on the server via the BigUpload endpoint. The key parameter controls the filename and the raw POST body becomes the file content. While .php extensions are filtered to .phps, the .pht extension passes through unmodified. On Apache configurations where .pht is handled as PHP, this leads to Remote Code Execution. This vulnerability is fixed in 1.11.38. | Mon 26 Oct |
| CVE-2026-42730 | 8.5 high | 0.00% | no CPE yet | Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Stylemix MasterStudy LMS masterstudy-lms-learning-management-system allows Blind SQL Injection.This issue affects MasterStudy LMS: from n/a through <= 3.7.29. | Mon 26 Oct |
| CVE-2026-31939 | 8.3 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38, there is a path traversal in main/exercise/savescores.php leading to arbitrary file feletion. User input from $_REQUEST['test'] is concatenated directly into filesystem path without canonicalization or traversal checks. This vulnerability is fixed in 1.11.38. | Mon 26 Oct |
| CVE-2026-33833 | 8.2 high | 0.00% | microsoft, azure_machine_learning | Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network. | Mon 26 Oct |
| CVE-2026-79977 | 8.2 high | 0.00% | no CPE yet | The WireGuard VPN service in subsys/net/lib/wireguard/wg.c updated the peer endpoint from a message it could not authenticate. In handle_transport_data(), when the 32-bit receiver index of an incoming transport-data message matched no session, the code both scheduled a new handshake and copied the datagram's source address into peer->endpoint with memcpy(&peer->endpoint, peer_addr, sizeof(peer->endpoint)). Because the receiver index is unknown, there is no key with which such a message could be verified, so the address written into peer->endpoint is entirely attacker-supplied. Every other endpoint update in the implementation happens only after authentication — after the Noise handshake in handle_handshake_init(), or after AEAD decryption plus the anti-replay check in wg_process_data_message(). The WireGuard listener is registered with net_udp_register() using no remote address or port filter and defaults to UDP port 51820 (CONFIG_WIREGUARD_PORT), and wg_ctrl_recv() resolves the peer by interface rather than by any cryptographic identity. Any host able to send a UDP datagram to that port can therefore reach the defect off-path, with no need to observe legitimate traffic: a 16-byte datagram carrying the transport-data type, zeroed reserved bytes and an arbitrary receiver index is sufficient. The vulnerable branch runs whenever the peer has neither a valid handshake nor a current keypair — the state at boot and after a session expires. A single spoofed datagram redirects peer->endpoint to an address of the attacker's choosing, and all subsequent handshake initiations, keepalives and encrypted data packets are sent there. The legitimate peer never receives the initiations and so never re-authenticates, and nothing resets the endpoint afterwards, leaving the tunnel persistently unusable on devices whose peer does not initiate handshakes itself. The attacker can also relay the redirected initiations to the real peer to place itself in the path of the tunnel, observing ciphertext and traffic metadata and selectively dropping packets. WireGuard's end-to-end cryptography still prevents decryption or forgery of tunnel content, so the impact is loss of availability plus limited confidentiality, not key compromise. The fix removes the endpoint learning from this path entirely: the stale-session recovery is kept, but the handshake is sent only to an endpoint learnt from an authenticated message, falling back to the configured cfg_endpoint, and the message is dropped when neither is known. CONFIG_WIREGUARD is marked experimental and is not enabled by default. | Mon 26 Oct |
| CVE-2026-60948 | 8.1 high | 0.00% | oracle, learning_management | Vulnerability in the Oracle Learning Management product of Oracle E-Business Suite (component: Internal Operations). Supported versions that are affected are 12.2.3-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Learning Management. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Learning Management accessible data as well as unauthorized access to critical data or complete access to all Oracle Learning Management accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N). | Sat 24 Oct |
| CVE-2026-98023 | 7.8 high | 0.00% | no CPE yet | In the Linux kernel, the following vulnerability has been resolved: vxlan: reject dynamic fdb entries that reference a nexthop id The commit cited in the Fixes tag allowed VXLAN FDB entries to point to FDB nexthops so that overlay traffic could be load balanced across multiple VTEPs. Such entries can only be configured from user space, cannot be learned and cannot roam. They only make sense with a user space control plane such as E-VPN where data plane learning is disabled. Despite that, the VXLAN driver does not currently prevent such entries from being configured with the "dynamic" flag. The per-nexthop FDB list is only protected by the per-device hash lock, which is not sufficient when two VXLAN devices point to the same FDB nexthop and therefore share the list. Aging runs in softirq context without RTNL, so an entry deleted by one device can race with an addition or deletion from the other, leading to list corruption: list_del corruption. next->prev should be ffff8881069d9548, but was dead000000000122. (next=ffff8881069d9448) WARNING: CPU: 0 PID: 90 at lib/list_debug.c:65 __list_del_entry_valid_or_report+0x1aa/0x210 ... vxlan_fdb_destroy+0x5b8/0xad0 vxlan_cleanup+0x328/0x450 call_timer_fn+0x2a/0x1c0 run_timer_softirq+0x18c/0x210 BUG: KASAN: slab-use-after-free in vxlan_fdb_destroy Fix this by rejecting the bogus configuration of dynamic FDB entries that point to FDB nexthops, both when created and when an existing entry is updated. As such, the per-nexthop FDB list is only ever mutated under the RTNL lock. Add test cases to make sure that this does not regress in the future. | 19 Oct |
| CVE-2025-40297 | 7.8 high | 0.00% | no CPE yet | In the Linux kernel, the following vulnerability has been resolved: net: bridge: fix use-after-free due to MST port state bypass syzbot reported[1] a use-after-free when deleting an expired fdb. It is due to a race condition between learning still happening and a port being deleted, after all its fdbs have been flushed. The port's state has been toggled to disabled so no learning should happen at that time, but if we have MST enabled, it will bypass the port's state, that together with VLAN filtering disabled can lead to fdb learning at a time when it shouldn't happen while the port is being deleted. VLAN filtering must be disabled because we flush the port VLANs when it's being deleted which will stop learning. This fix adds a check for the port's vlan group which is initialized to NULL when the port is getting deleted, that avoids the port state bypass. When MST is enabled there would be a minimal new overhead in the fast-path because the port's vlan group pointer is cache-hot. [1] https://syzkaller.appspot.com/bug?extid=dd280197f0f7ab3917be | 15 Oct |
| CVE-2026-118761 | 7.5 high | — | kubeflow, pipelines | Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server decompressed uploaded pipeline archives without adequately bounding expanded data while locating or reading the pipeline file. A small ZIP or gzip-compressed tar archive can consume disproportionately large memory and exhaust API-server resources. Multipart pipeline and pipeline-version upload processing performs decompression before namespace authorization, so a reachable caller does not need a successful pipeline-create authorization decision. URL-import handlers authorize before fetching and decompressing a remote archive. The amount of expansion required to interrupt service depends on deployment resource limits and concurrent activity, and no specific archive is guaranteed to crash every deployment. This issue is fixed in version 2.18.0. | 12 h ago |
| CVE-2026-118758 | 7.5 high | — | kubeflow, pipelines | Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the volume artifact handler for GET /artifacts/get?source=volume did not confine a caller-supplied file path to the selected volume. A caller who can reach the route and identify an existing mounted volume can use path traversal to read files outside that volume when the artifact-serving process can read them. The frontend pod serves the request when artifact proxying is disabled, while the selected namespace's artifact-service pod serves it when proxying is enabled. A deployment with authentication disabled requires no application credentials; in multi-user deployments, the caller ordinarily must be authorized for the supplied namespace. This issue is fixed in version 2.18.0. | 12 h ago |
| CVE-2026-118759 | 7.5 high | — | kubeflow, pipelines | Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server's GET /apis/v1alpha1/runs/{run_id}/nodes/{node_id}/log handler retrieved logs without authorizing the caller against the selected run. A caller who can reach the backend and knows a victim run ID and suitable pod or node identifier can read live or archived logs with the API server's permissions. For live logs, the caller-controlled node ID was also accepted as a pod name without verifying that the pod belonged to the requested run, allowing a known run ID to select the namespace of an unrelated pod and read its main container logs. The handler does not authenticate requests itself, although an external authentication gate or network policy can limit reachability. Exposed logs can contain sensitive workload data or credentials. This issue is fixed in version 2.18.0. | 16 h ago |
| CVE-2026-33710 | 7.5 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, REST API keys are generated using md5(time() + (user_id * 5) - rand(10000, 10000)). The rand(10000, 10000) call always returns exactly 10000 (min == max), making the formula effectively md5(timestamp + user_id*5 - 10000). An attacker who knows a username and approximate key creation time can brute-force the API key. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2025-64213 | 7.5 high | 0.00% | no CPE yet | Insertion of Sensitive Information Into Sent Data vulnerability in StylemixThemes MasterStudy LMS Pro masterstudy-lms-learning-management-system-pro allows Retrieve Embedded Sensitive Data.This issue affects MasterStudy LMS Pro: from n/a through < 4.7.16. | Fri 23 Oct |
| CVE-2025-49925 | 7.5 high | 0.00% | vibethemes, wordpress_learning_management_system | Missing Authorization vulnerability in VibeThemes WPLMS wplms_plugin allows Accessing Functionality Not Properly Constrained by ACLs.This issue affects WPLMS: from n/a through <= 1.9.9.7. | 8 Oct |
| CVE-2026-60945 | 7.3 high | 0.00% | oracle, learning_management | Vulnerability in the Oracle Learning Management product of Oracle E-Business Suite (component: Internal Operations). Supported versions that are affected are 12.2.3-12.2.15. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Learning Management. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Learning Management accessible data as well as unauthorized access to critical data or complete access to all Oracle Learning Management accessible data. CVSS 3.1 Base Score 7.3 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N). | Sat 24 Oct |
| CVE-2026-33780 | 7.1 high | 0.00% | juniper, junos, junos_os_evolved | A Missing Release of Memory after Effective Lifetime vulnerability in the Layer 2 Address Learning Daemon (l2ald) of Juniper Networks Junos OS and Junos OS Evolved allows an adjacent, unauthenticated attacker to cause a memory leak ultimately leading to a Denial of Service (DoS). In an EVPN-MPLS scenario, routes learned from remote multi-homed Provider Edge (PE) devices are programmed as ESI routes. Due to a logic issue in the l2ald memory management, memory allocated for these routes is not released when there is churn for these routes. As a result, memory leaks in the l2ald process which will ultimately lead to a crash and restart of l2ald. Use the following command to monitor the memory consumption by l2ald: user@device> show system process extensive | match "PID|l2ald" This issue affects: Junos OS: * all versions before 22.4R3-S5, * 23.2 versions before 23.2R2-S3, * 23.4 versions before 23.4R2-S4, * 24.2 versions before 24.2R2; Junos OS Evolved: * all versions before 22.4R3-S5-EVO, * 23.2 versions before 23.2R2-S3-EVO, * 23.4 versions before 23.4R2-S4-EVO, * 24.2 versions before 24.2R2-EVO. | Mon 26 Oct |
| CVE-2026-32894 | 7.1 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, an Insecure Direct Object Reference (IDOR) vulnerability in the gradebook result view page allows any authenticated teacher to delete any student's grade result across the entire platform by manipulating the delete_mark or resultdelete GET parameters. No ownership or course-scope verification is performed. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-33702 | 7.1 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, Chamilo LMS contains an Insecure Direct Object Reference (IDOR) vulnerability in the Learning Path progress saving endpoint. The file lp_ajax_save_item.php accepts a uid (user ID) parameter directly from $_REQUEST and uses it to load and modify another user's Learning Path progress — including score, status, completion, and time — without verifying that the requesting user matches the target user ID. Any authenticated user enrolled in a course can overwrite another user's Learning Path progress by simply changing the uid parameter in the request. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-32930 | 7.1 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, an Insecure Direct Object Reference (IDOR) vulnerability in the gradebook evaluation edit page allows any authenticated teacher to view and modify the settings (name, max score, weight) of evaluations belonging to any other course by manipulating the editeval GET parameter. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-33703 | 7.1 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 2.0.0-RC.3, an Insecure Direct Object Reference (IDOR) vulnerability in the /social-network/personal-data/{userId} endpoint allows any authenticated user to access full personal data and API tokens of arbitrary users by modifying the userId parameter. This results in mass disclosure of sensitive user information and credentials, enabling a full platform data breach. This vulnerability is fixed in 2.0.0-RC.3. | Mon 26 Oct |
| CVE-2026-33706 | 7.1 high | 0.00% | chamilo, chamilo_lms | Chamilo LMS is a learning management system. Prior to 1.11.38, any authenticated user with a REST API key can modify their own status field via the update_user_from_username endpoint. A student (status=5) can change their status to Teacher/CourseManager (status=1), gaining course creation and management privileges. This vulnerability is fixed in 1.11.38. | Mon 26 Oct |
| CVE-2026-39385 | 7.1 high | 0.00% | no CPE yet | Frappe LMS is an open source learning management system. In version 2.51.0 and earlier, a user could bypass payment validation for courses by using unrelated batch. This has been patched in 2.52.0 with enrollment now validating that the batch is linked to course. | Sat 24 Oct |
| CVE-2025-53420 | 7.1 high | 0.00% | vibethemes, wordpress_learning_management_system | Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in VibeThemes WPLMS wplms_plugin allows Reflected XSS.This issue affects WPLMS: from n/a through <= 1.9.9.8. | 8 Oct |
| CVE-2026-44720 | 6.9 medium | 0.00% | no CPE yet | OpenLearnX is an open-source, decentralized learning and assessment platform. Prior to 2.0.4, a critical authentication vulnerability was identified in OpenLearnX that could allow unauthorized access to user accounts under specific conditions. This vulnerability is fixed in 2.0.4. | Mon 26 Oct |
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EPSS scores: 2026-10-29. NVD cursor: 2026-10-29 00:22. The News page shows only notable CVEs (KEV, your stack, new criticals, EPSS over 50%, or active exploitation per SSVC); this table has all of them.