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| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-12822 | 1 Langflow | 1 Langflow | 2026-06-23 | 5.3 Medium |
| A vulnerability was identified in langflow-ai langflow up to 1.9.3. This affects an unknown function of the component Bundle URL Loader. The manipulation leads to code injection. The attack needs to be performed locally. The vendor was contacted early about this disclosure but did not respond in any way. | ||||
| CVE-2026-9071 | 1 Ibm | 2 Websphere Application Server, Websphere Application Server Liberty | 2026-06-23 | 7.5 High |
| IBM WebSphere Application Server 9.0, and 8.5 and IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.6 are vulnerable to a denial of service, caused by sending a specially-crafted request. A remote attacker could exploit this vulnerability to cause the server to consume memory resources. | ||||
| CVE-2026-12811 | 1 Kortix-ai | 1 Suna | 2026-06-23 | 4.3 Medium |
| A weakness has been identified in kortix-ai suna up to 0.8.38. Affected by this issue is the function router.replace/router.push of the file apps/frontend/src/app/auth/page.tsx of the component Auth Endpoint. Executing a manipulation of the argument returnURL can lead to cross site scripting. The attack may be launched remotely. The exploit has been made available to the public and could be used for attacks. Upgrading to version 0.8.39 can resolve this issue. This patch is called f5dec7aa0c1b8fa0125938f292c0f2430ca75f6c. It is advisable to upgrade the affected component. The researcher explains: "The issue was fixed in v0.8.39 without notifying the wider user base via a security disclosure." | ||||
| CVE-2025-71370 | 1 Mmaitre314 | 1 Picklescan | 2026-06-23 | 8.1 High |
| picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load(). | ||||
| CVE-2026-12805 | 1 Offis | 1 Dcmtk | 2026-06-23 | 6.3 Medium |
| A flaw has been found in OFFIS DCMTK up to 3.7.0. The affected element is the function XMLNode::parseFile in the library ofstd/libsrc/ofxml.cc. Executing a manipulation can lead to heap-based buffer overflow. The attack may be performed from remote. The exploit has been published and may be used. This patch is called 1d4b3815c0987840a983160bfc671fef63a3105b. It is best practice to apply a patch to resolve this issue. The vendor was contacted early, responded in a very professional manner and quickly released a fixed version of the affected product. | ||||
| CVE-2026-56274 | 1 Flowiseai | 1 Flowise | 2026-06-23 | 9.9 Critical |
| Flowise before 3.1.2 contains multiple OS command injection vulnerabilities in the Custom MCP Server feature due to incomplete command-flag validation and a regex bypass in local file access restrictions. An attacker with a Flowise account of any role, or API access with view/update permissions for chatflows, can configure a malicious MCP server to bypass the validateCommandFlags blocklist (for example, 'docker build' is not blocked, and 'npx --yes' is not blocked while only '-y' is) and the validateArgsForLocalFileAccess checks, resulting in execution of arbitrary commands on the Flowise host. | ||||
| CVE-2026-56315 | 1 Mmaitre314 | 1 Picklescan | 2026-06-23 | 9.8 Critical |
| picklescan before 1.0.4 fails to block at least seven Python standard library modules (including uuid, _osx_support, _aix_support, _pyrepl.pager, and imaplib) exposing eight functions that provide direct arbitrary command execution. Attackers can craft malicious pickle files importing these unblocked modules to achieve remote code execution while bypassing picklescan's safety validation entirely. | ||||
| CVE-2026-32174 | 1 Microsoft | 1 Azure Ai Bot Service | 2026-06-23 | 7.7 High |
| Improper authentication in Azure Bot Service allows an authorized attacker to elevate privileges over a network. | ||||
| CVE-2026-56376 | 1 Imagemagick | 1 Imagemagick | 2026-06-23 | 3.7 Low |
| ImageMagick before 7.1.2-15 and 6.9.13-40 contains a heap use-after-free in the meta coder: when memory allocation fails, a single byte is written to a stale pointer. Remote attackers can trigger it by processing specially crafted image files, causing a denial of service. | ||||
| CVE-2026-54892 | 1 Elixir-plug | 1 Plug | 2026-06-23 | N/A |
| Inefficient algorithmic complexity in Plug's nested-parameter decoder allows an unauthenticated remote attacker to cause denial of service. Plug.Conn.Query.decode/4 (and Plug.Conn.Query.decode_each/2) parse query strings and application/x-www-form-urlencoded request bodies. When a key contains many bracketed segments such as a[a][a][a]=1, the decoder walks the brackets and, for each of the N levels, performs a map operation keyed on an ever-growing binary prefix of the key, hashing the full byte range at each step. The total decode cost is therefore quadratic in the number of nesting levels. With the default Plug.Parsers.URLENCODED body limit of 1,000,000 bytes, a single request can carry roughly 333,000 nesting levels and saturate a BEAM scheduler for minutes. A small number of concurrent requests can saturate all schedulers and render a Plug-based server unresponsive. No authentication or knowledge of application routes is required. This vulnerability is associated with program files lib/plug/conn/query.ex and program routines Plug.Conn.Query.decode/4, Plug.Conn.Query.decode_each/2, Plug.Conn.Query.split_keys/6, Plug.Conn.Query.insert_keys/3, and Plug.Conn.Query.finalize_pointer/2. This issue affects plug from 1.15.0 before 1.15.5, 1.16.4, 1.17.2, 1.18.3, and 1.19.3. | ||||
| CVE-2025-71337 | 1 Flowiseai | 1 Flowise | 2026-06-23 | 8.3 High |
| Flowise before 3.0.10 (affected versions 3.0.7 and earlier) contains an unverified email change vulnerability. An authenticated user can change the account email address, used as a login identifier and password-recovery channel, via the account profile endpoint without confirming the change to the original email address or re-entering the current password. By changing the recovery email, an attacker can take over the account and abuse password reset mechanisms. | ||||
| CVE-2026-47155 | 1 Vllm-project | 1 Vllm | 2026-06-23 | 6.5 Medium |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0. | ||||
| CVE-2026-54236 | 1 Vllm-project | 1 Vllm | 2026-06-23 | 5.3 Medium |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0. | ||||
| CVE-2026-48167 | 1 Filamentphp | 1 Filament | 2026-06-23 | 6.4 Medium |
| Filament is a collection of full-stack components for accelerated Laravel development. From 4.0.0 until 4.11.5 and 5.6.5, the ImageColumn and ImageEntry components render raw database values without escaping HTML. Where the data passed to these components isn't validated, an attacker could plant malicious HTML or JavaScript and achieve stored XSS that executes for users who view the table or schema. This vulnerability is fixed in 4.11.5 and 5.6.5. | ||||
| CVE-2026-48166 | 1 Filamentphp | 1 Filament | 2026-06-23 | 5.3 Medium |
| Filament is a collection of full-stack components for accelerated Laravel development. From 4.0.0 until 4.11.5 and 5.6.5, the login page has an observable timing discrepancy that allows unauthenticated attackers to enumerate registered email addresses. The impact is limited to disclosing whether an account exists for a given email. This vulnerability is fixed in 4.11.5 and 5.6.5. | ||||
| CVE-2026-56348 | 1 N8n | 1 N8n | 2026-06-23 | 9.1 Critical |
| n8n before 2.20.0 contains a credential exfiltration vulnerability in the POST /rest/dynamic-node-parameters/options endpoint that allows authenticated users to bypass Allowed HTTP Request Domains restrictions. Attackers with credential access can cause the n8n server to issue HTTP requests with credentials to unauthorized hosts, exfiltrating sensitive authentication data. | ||||
| CVE-2025-25250 | 1 Fortinet | 2 Fortios, Fortisase | 2026-06-23 | 3.9 Low |
| An Exposure of Sensitive Information to an Unauthorized Actor vulnerability [CWE-200] vulnerability in Fortinet FortiOS 7.6.0, FortiOS 7.4.0 through 7.4.7, FortiOS 7.2 all versions, FortiOS 7.0 all versions, FortiOS 6.4 all versions, FortiSASE 25.1.c may allow an authenticated user to access full SSL-VPN settings via crafted URL. | ||||
| CVE-2025-54821 | 1 Fortinet | 4 Fortios, Fortipam, Fortiproxy and 1 more | 2026-06-23 | 1.8 Low |
| An Improper Privilege Management vulnerability [CWE-269] vulnerability in Fortinet FortiOS 7.6.0 through 7.6.3, FortiOS 7.4.0 through 7.4.11, FortiOS 7.2 all versions, FortiOS 7.0 all versions, FortiOS 6.4 all versions, FortiPAM 1.6.0, FortiPAM 1.5 all versions, FortiPAM 1.4 all versions, FortiPAM 1.3 all versions, FortiPAM 1.2 all versions, FortiPAM 1.1 all versions, FortiPAM 1.0 all versions, FortiSASE 25.2.91 may allow an authenticated administrator to bypass the trusted host policy via crafted CLI command. | ||||
| CVE-2026-54235 | 1 Vllm-project | 1 Vllm | 2026-06-23 | N/A |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0. | ||||
| CVE-2026-41523 | 1 Vllm-project | 1 Vllm | 2026-06-23 | 7.5 High |
| vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0. | ||||