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Search Results (28754 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-94445 | 1 Golang | 1 Playground | 2026-09-26 | 8.8 High |
| A malicious txtar could escape the intended execution context and force arbitrary writes to the playground host's trusted filesystem. Disjointly, one of the three possible paths to invoke go vet on the playground host did not correctly restrict the execution environment. This permitted a Go process to make a read for an environment configuration file rooted in the playground host's $HOME. Together, a well-crafted go env file and the go vet invocation could lead to remote code execution in the playground host itself. This does not affect users of go.dev/play directly; however, it may affect independent deployments of golang.org/x/playground. | ||||
| CVE-2026-85750 | 1 Piwigo | 1 Piwigo | 2026-09-26 | 7.2 High |
| Piwigo before v16.4.0 is vulnerable to arbitrary file read and remote code execution in image upload handling when using the Imagick library due to insufficient validation and unsafe processing of user-supplied image files. By abusing format confusion (e.g., disguising SVG content as PNG), an attacker can trigger unintended interpretation of embedded SVG elements that reference local files. In more advanced scenarios, the Imagick support for Magick Scripting Language (MSL) may be abused to process attacker-controlled instructions, potentially leading to unauthorized server-side file writes and remote code execution, depending on configuration. This has been patched in 16.4.0. | ||||
| CVE-2026-100187 | 1 Ail-project | 1 Ail-framework | 2026-09-26 | N/A |
| The Onion module in AIL Framework contained a performance shortcut in its URL extraction logic that accepted URLs as valid .onion targets based solely on a length check (exactly 69 characters) and a suffix check (ending in ".onion"), without performing proper hostname parsing or onion-domain validation. An unauthenticated attacker who could publish or control web content crawled by the framework could embed a crafted URL containing an IP address or non-onion hostname with a path ending in ".onion" that satisfied the length and suffix conditions. Such a URL would be extracted, its domain naively sliced from the string, and queued as a legitimate onion crawler task. This allowed unauthenticated content publishers to inject arbitrary non-onion targets into the crawler's task queue, influencing crawler behavior and potentially directing it toward unintended network resources. The vulnerability required no authentication, no user interaction, and only the ability to place crafted content in a location the framework would crawl. The security impact is a loss of integrity in the crawler's target selection: the framework processes and acts upon URLs that do not correspond to legitimate .onion services. | ||||
| CVE-2026-100177 | 1 Ail-project | 1 Ail-framework | 2026-09-26 | N/A |
| The AIL Framework crawler task creation API (api_add_crawler_task) contained an insufficient authorization check when a user supplied a cookiejar UUID to attach to a one-shot or scheduled crawler task. The original code only verified that the cookiejar existed and, if its access level was 0, compared the cookiejar's owning user ID to the requesting user ID. It did not validate organizational boundaries, did not account for the requesting user's role. When the cookiejar level was not 0, no access check was performed at all. An authenticated user could therefore reference another organization's cookiejar by UUID and have the crawler use that organization's stored cookies (session tokens, authentication credentials) when performing web crawls, effectively leaking or exfiltrating the victim organization's session data. The vulnerability requires an authenticated user with the ability to create crawler tasks. The attacker must know or guess a valid cookiejar UUID belonging to another organization. The impact is unauthorized access to another organization's stored cookies and session data through the crawler infrastructure. | ||||
| CVE-2026-97869 | 1 Langchain4j | 1 Langchain4j | 2026-09-26 | 4.1 Medium |
| A flaw has been found in langchain4j up to 1.5.3-beta10/1.11.10-beta18/1.18.1-beta27. This vulnerability affects the function AgenticScopeSerializer.fromJson of the file AgenticScopeJsonSerializationIT.java of the component LangChain4j-agentic. This manipulation causes deserialization. Remote exploitation of the attack is possible. The attack's complexity is rated as high. It is stated that the exploitability is difficult. The exploit has been published and may be used. Upgrading to version 1.5.3-beta11, 1.11.10-beta19 and 1.18.1-beta28 is able to resolve this issue. Upgrading the affected component is advised. The project maintainer kindly explains: "The issue was reported to us privately on 23 July 2026 and fixed in releases published on 29 July 2026. It is tracked as GHSA-gmwr-7wmf-mrjm. Exploitation requires an application to have enabled AgenticScope persistence, which is opt-in, and an attacker who can already write to that store. All maintained release lines have been patched." | ||||
| CVE-2026-67234 | 1 Rabbitmq | 1 Rabbitmq-server | 2026-09-26 | N/A |
| RabbitMQ is a messaging and streaming broker. From 4.2.0 until 4.2.8 and 4.3.2, get_auth_mechanism/1 used term_to_binary/1 on the strict_auth_mechanism or preferred_auth_mechanism atom when clearing the corresponding cookie, producing a non-ASCII cookie name that violates RFC 6265 and can prevent the browser from deleting the preference. The issue is not directly exploitable for code execution or data exfiltration; its security relevance is limited to stale authentication-mechanism preferences persisting across logout and login cycles. This issue is fixed in versions 4.2.8 and 4.3.2. | ||||
| CVE-2026-67410 | 1 Rabbitmq | 1 Rabbitmq-server | 2026-09-26 | N/A |
| RabbitMQ is a messaging and streaming broker. From 4.2.0 until 4.3.3 and 4.2.9, OAuth2 Client Secret Exposed via Unauthenticated JavaScript Endpoint (CWE-200). when OAuth2 authentication is enabled for the RabbitMQ Management UI and the configured flow, IDP use a client secret, the oauthclientsecret configuration value is included in the JavaScript served by the unauthenticated endpoint /js/oidc-oauth/bootstrap.js. Any user who can reach the management UI port can retrieve the OAuth2 client secret without Files: deps/rabbitmqmanagement/src/rabbitmgmtwmauth.erl, line 186 deps/rabbitmqmanagement/src/rabbitmgmtoauthbootstrap.erl, lines 35-50 deps/rabbitmqmanagement/src/rabbitmgmtdispatcher.erl, lines 45-49 (route registration) Code Path: 1. The route /js/oidc-oauth/bootstrap.js is registered as a plain Cowboy handler (rabbitmgmtdispatcher.erl:46): Credential exposure for the affected configuration: OAuth2 client secret is accessible without any authentication Token theft: Attacker can complete the authorization code flow using stolen authorization codes Client impersonation: Attacker can make requests. Any RabbitMQ deployment with: This issue is fixed in versions 4.3.3 and 4.2.9. | ||||
| CVE-2026-56729 | 1 Zammad | 1 Zammad | 2026-09-26 | N/A |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.2, when multiple KB categories have different editor roles assigned, a user with knowledge_base.editor in one category can see answer titles and updated_at timestamps from categories they do not have editor access to , via the global quick search. Category names are not leaked, and opening the answer returns "Page not found," but the title alone may disclose sensitive information. This vulnerability is fixed in 7.0.2. | ||||
| CVE-2026-56732 | 1 Zammad | 1 Zammad | 2026-09-26 | N/A |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.2, vulnerability in Zammad's HTML sanitization allows injection of specific HTML elements into ticket bodies. When another user views the crafted ticket, the injected element can trigger a logout request, terminating the viewer's session. This vulnerability is fixed in 7.0.2. | ||||
| CVE-2026-63206 | 1 Zammad | 1 Zammad | 2026-09-26 | N/A |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, zammad's HTML sanitizer, which blocks remote images in ticket articles and email views, can be bypassed using a shortened URL format that omits the double slash after the scheme (for example a shortened HTTP URL instead of a shortened HTTP URL). Modern browsers treat both forms as equivalent remote URLs. As a result, an attacker who sends a crafted email or ticket can cause the recipient's browser to silently load an image from an external server, revealing when and by whom the ticket was opened. Zammad's "remote content blocked" warning is not shown because the sanitizer does not recognize the shortened form as remote. This issue is fixed in version 7.1.2. | ||||
| CVE-2026-56728 | 1 Zammad | 1 Zammad | 2026-09-26 | N/A |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.0.2, a broken access control vulnerability exists in Zammad's GraphQL API. An authenticated user can access taskbar item data belonging to another user by crafting a request with the target user's taskbar identifier. The taskbar feature stores transient state for active user sessions, including auto-saved ticket drafts. Under certain conditions, the authorization check for taskbar item access is not enforced, allowing a user to read another user's taskbar item data. This vulnerability is fixed in 7.0.2. | ||||
| CVE-2026-84462 | 1 Zammad | 1 Zammad | 2026-09-26 | N/A |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, a security filter that protects Zammad's AI Agent configuration can be bypassed by entering specially crafted text into one of an AI Agent's fields. An administrator with permission to create or edit AI Agents could exploit this to run arbitrary commands on the server that hosts Zammad, potentially reading, modifying, or destroying all data stored on that server. No interaction from other users is needed; the malicious code runs automatically the next time the affected AI Agent processes a ticket. This issue is fixed in version 7.1.2. | ||||
| CVE-2026-84464 | 1 Zammad | 1 Zammad | 2026-09-26 | N/A |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, zammad's External Data Source feature, used to look up records from an external system, did not properly verify whether a user was allowed to see a specific ticket, user, group, or organization before including its details in a request to that external system. An authenticated user, including one with only basic customer access, could exploit this by referencing another record's ID, and thereby view details of tickets, customer accounts, teams, or organizations that did not belong to them. This issue is fixed in version 7.1.2. | ||||
| CVE-2026-84461 | 1 Zammad | 1 Zammad | 2026-09-26 | N/A |
| Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, the two-factor login step let an attacker try unlimited password guesses for any account without triggering Zammad's normal lockout or rate limiting. The response also revealed whether a guess was correct, even before two-factor authentication was checked. This made it possible to brute-force weak or reused passwords. This issue is fixed in version 7.1.2. | ||||
| CVE-2026-78806 | 2026-09-26 | 5.5 Medium | ||
| An issue in Matter Standard Specification-Implementation gap v1.5.1 Matter Project Chip V1.5.1 allows a local attacker to obtain sensitive information via the PerformCommissioningStep function in the ChipDeviceController.cpp component | ||||
| CVE-2026-62364 | 1 Weblateorg | 1 Wlc | 2026-09-26 | 2.3 Low |
| wlc is a Weblate command-line client using Weblate's REST API. Prior to 2.0.1, automatically discovered configuration from .weblate, .weblate.ini, or weblate.ini can select the API URL while an unscoped API token is supplied through WLC_KEY or --key without a matching WLC_URL or --url. When wlc runs in an untrusted repository, pull request checkout, or directory with untrusted ancestor configuration, it can send the token to an attacker-controlled project-configured URL. URL-scoped keys in [keys] are not affected. This issue is fixed in version 2.0.1. | ||||
| CVE-2026-85725 | 1 Hkuds | 1 Lightrag | 2026-09-26 | 5.9 Medium |
| LightRAG provides simple and fast retrieval-augmented generation. Prior to 1.5.5, verify_password in lightrag/api/passwords.py compares plaintext AUTH_ACCOUNTS password values with Python's == operator. The comparison can return after the first mismatching byte, creating response-time differences based on password length and matching prefixes. A network attacker with sufficiently low-latency access can repeatedly query the /login endpoint and use the timing oracle to recover a plaintext-configured password character by character. Deployments using bcrypt-prefixed password values are not affected by this comparison path. This issue is fixed in version 1.5.5. | ||||
| CVE-2026-75638 | 1 Adobe | 2 Content Credentials Command-line Tool, Content Credentials Rust Sdk | 2026-09-26 | 6.5 Medium |
| CAI Content Credentials is affected by an Improper Input Validation vulnerability that could result in a Security feature bypass. An attacker could leverage this vulnerability to bypass security measures and gain unauthorized write access. Exploitation of this issue requires user interaction in that a victim must visit a maliciously crafted URL or interact with a compromised web page. | ||||
| CVE-2026-98150 | 1 Linux | 1 Linux Kernel | 2026-09-25 | 7 High |
| In the Linux kernel, the following vulnerability has been resolved: bpf: Fix BPF_F_CPU validation for sparse CPU IDs BPF_F_CPU stores the target CPU ID in the upper 32 bits of the map operation flags. bpf_map_check_op_flags() currently compares that ID with num_possible_cpus(), which is the number of possible CPUs rather than a bound on CPU IDs. On an arm64 QEMU guest with a CPU device-tree hole, the possible CPU mask was 0,2-3. A userspace program using raw bpf() syscalls creates a BPF_MAP_TYPE_PERCPU_ARRAY and performs update and lookup operations for each CPU by setting BPF_F_CPU and the CPU ID in the flags. With the old check, CPU 1 is incorrectly accepted while valid CPU 3 is rejected with -ERANGE. The CPU 1 update then reaches the per-CPU map access path and triggers: Unable to handle kernel paging request at virtual address ... pc : __pi_memcpy_generic+0x5c/0x22c lr : bpf_percpu_array_update+0x2dc/0x2e8 Call trace: __pi_memcpy_generic bpf_map_update_value map_update_elem __sys_bpf Check the CPU ID against nr_cpu_ids and cpu_possible() instead. This rejects CPU IDs outside the valid range and CPUs absent from the possible mask, while allowing valid sparse CPU IDs. | ||||
| CVE-2026-71463 | 1 Redhat | 3 Ansible Automation Platform, Ansible Automation Platform Developer, Ansible Automation Platform Inside | 2026-09-25 | 2.7 Low |
| Notification template Jinja AST whitelist only inspects static Getattr nodes. Dynamic subscripts (job['job'+'_env']) and {% if job.id > 100 %} conditional gating bypass both the AST check and the test-render (stub has small job.id). At runtime, the gated branch executes and exceptions write full tracebacks into notification body, which is POSTed to attacker-controlled webhook URL. Leaks install paths, Python version, source line numbers. | ||||