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🚨 CVE-2026-14239
The tourmaster WordPress plugin before 5.4.8 does not perform a nonce check when storing a custom-filter label taken from a request parameter, and does not escape that label when echoing it on the filter admin page, allowing an unauthenticated attacker to trick a logged-in administrator into storing JavaScript that then executes in the admin area (stored Cross-Site Scripting via CSRF).

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🚨 CVE-2026-16970
The IRIS web application in version 2.4.26 and possibly others contains a logout functionality which is ineffective. Stolen session cookies can therefore be misused for a long time.

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🚨 CVE-2026-12940
IBM Langflow OSS 1.0.0 through 1.10.1  are vulnerable to unauthenticated remote code execution via environment variable injection in the MCP (Model Context Protocol) stdio launcher. The vulnerability exists in src/lfx/src/lfx/base/mcp/util.py where the DANGEROUS_ENV_VARS blocklist fails to include SHELLOPTS , BASHOPTS , and PS4 environment variables.

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🚨 CVE-2026-10700
IBM Langflow OSS 1.0.0 through 1.8.4 contains multiple broken access control vulnerabilities in its file handling API that allow unauthorized access to user files.The /api/v1/files/images/{flow_id}/{file_name} endpoint does not enforce authentication or authorization checks, allowing unauthenticated remote attackers to retrieve image files associated with any flow by specifying a valid flow_id and file_name.Additionally, the /api/v1/files/download/{flow_id}/{file_name} endpoint requires authentication but fails to properly validate ownership of the requested resource. As a result, an authenticated user can access files belonging to other users by supplying arbitrary identifiers, leading to an authorization bypass (IDOR).Successful exploitation may result in unauthorized disclosure of sensitive data, including files stored in private flows. This issue breaks tenant isolation in multi-user deployments.

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🚨 CVE-2026-15969
SGLang contains an unauthenticated RCE in /load_lora_adapter_from_tensors via bypass of SafeUnpickler’s incomplete denylist, allowing arbitrary command execution through crafted base64-encoded pickle payloads.

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🚨 CVE-2026-15974
SGLang contains an SSRF and local file read in the multimodal generation endpoint /v1/chat/completions due to unsanitized image_url, allowing access to internal metadata, secrets, and services.

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🚨 CVE-2026-15976
SGLang contains a RCE vulnerability when attempting to load model weights from a HuggingFace repository, specifically within the /update_weights_from_disk, where torch.load(..., weights_only=False) fallback enables pickle deserialization of .bin files.

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🚨 CVE-2026-15977
SGLang contains a credential leakage vulnerability in the /server_info endpoint, which will return API keys and SSL keyfile information when only the --admin-api-key is configured.

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🚨 CVE-2026-15978
SGLang contains a model weight exfiltration vulnerability when no API keys are configured, as SGLang will expose two endpoints that allow a remote attacker to trigger distributed weight broadcasting using NCCL and then triggering data transfer, attackers can exfiltrate all model weights.

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🚨 CVE-2026-18718
Ghidra contains an arbitrary code execution vulnerability in the Swift demangler analyzer that allows an attacker to execute arbitrary binaries by supplying a malicious Ghidra project with a crafted Swift tool directory path. When a victim opens the attacker-supplied project, SwiftDemanglerAnalyzer restores the persisted Swift binary directory from project state and SwiftNativeDemangler executes the resolved binary without integrity or signature verification, causing attacker-controlled executables to run under the Ghidra process user with no prompt or confirmation.

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🚨 CVE-2026-18654
Key exchange without entity authentication in the EMR SSH helper commands in Amazon AWS CLI before 1.45.28 and AWS CLI v2 before 2.35.3 might allow man-in-the-middle attackers to intercept SSHsessions and file transfers via network positioning between the client and the EMR cluster endpoint.



To remediate this issue, users should upgrade to AWS CLI v1 1.45.28 or later, or AWS CLI v2 2.35.3 or later.

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🚨 CVE-2026-62354
Authorization handling for Parameter Context validation requests in Apache NiFi 1.10.0 through 2.10.0 allows clients with read access to submit proposed Parameter values. The proposed values override current configuration, enabling users with read access to invoke predefined component validation methods with alternative settings. Apache NiFi installations that do not implement different levels of authorization for viewing and modifying Parameter Context configuration are not subject to this vulnerability. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, requiring write access to submit Parameter Context validation requests.

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🚨 CVE-2026-68979
Apache NiFI 1.10.0 through 2.10.0 provide a Parameter Context update REST API method that does not enforce authorization checking on components referencing Parameter values. Updating a Parameter Context can change parameter values that affect referencing components, but framework authorization was limited to read and write privileges on the Parameter Context itself. As a result of the missing authorization, an authenticated user authorized to modify a Parameter Context, but not authorized on referencing components, could alter Parameter values affecting those components. In deployments where a Parameter value contains executable scripting content, updating a Parameter can result in code execution during automatic component validation, without starting the referencing component. The impact was limited to stopped components by existing verification checks, and the issue applies only to deployments that use component-level authorization policies. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, which aligns the Parameter Context update method authorization with other methods, adding authorization checking on affected components.

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🚨 CVE-2026-68980
Apache NiFi 2.0.0 through 2.10.0 support creating, reading, and deleting Assets associated with Parameter Contexts through the REST API. The framework authorizes asset deletion against the owning Parameter Context using the supplied Parameter Context Identifier and Asset Identifier. The framework performed authorized based on the supplied Parameter Context Identifier without verifying the requested Identifier against the stored Identifier. Apache NiFi installations that do not implement different levels of authorization across Parameter Contexts are not subject to this vulnerability, because the framework enforces write permissions as the security boundary. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, which verifies Parameter Context ownership of the requested Asset before deletion using the same strategy applied to Asset read operations.

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🚨 CVE-2026-68981
Apache NiFi 1.5.0 through 2.10.0 support gzip-encoded HTTP requests for the application REST API using a Jersey encoding filter. The framework enforced a configurable maximum request size on the compressed payload rather than the decompressed output, allowing a malicious client to send crafted requests that could consume excessive amounts of memory. Upgrading to Apache NiFi 2.11.0 is the recommended mitigation, which relocates response compression to Jetty Server and disables decompression of gzip-encoded HTTP requests.

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🚨 CVE-2026-18733
A prompt injection vulnerability in the shell tool in Amazon Strands Agents Tools before 0.8.0 might allow remote actors to execute arbitrary operating system commands on the agent's host via a crafted prompt that sets the non_interactive parameter to true, bypassing the human consent gate.



To remediate this issue, users should upgrade to version 0.8.0.

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🚨 CVE-2026-10849
The hawkBit device management client in subsys/mgmt/hawkbit accumulates the body of an HTTP response from the update server into a heap buffer in response_json_cb() (subsys/mgmt/hawkbit/hawkbit.c). The buffer is sized to hold the received body bytes but reserves no space for a terminating NUL. When the full response has arrived, the code writes response_data[downloaded_size] = '\0' β€” and whenever the accumulated body length equals the allocation, that terminator lands one byte past the end of the heap object (a heap-based out-of-bounds write, CWE-122 / CWE-787).

The body length and fragmentation are taken directly from the parsed HTTP response (rsp->body_frag_start / rsp->body_frag_len) and are fully controlled by the remote hawkBit server, which chooses its own response length. The precise trigger depends on how the buffer grows, and both forms are remotely reachable. Since v4.0.0 the reallocation is sized to exactly downloaded_size + body_len, so any response body larger than the 1100-byte initial buffer makes the out-of-bounds write deterministic; such response sizes are normal for hawkBit deployment metadata. Before v4.0.0 the buffer grew by doubling and the growth check ((downloaded_size + body_len) > response_buffer_size) is false at equality, so a response body whose length is exactly the current allocation β€” 1100 bytes with the default initial buffer β€” skips the reallocation entirely and writes the terminator at response_data[1100] of an 1100-byte object. The HTTP length-mismatch check does not catch this, because the declared and received lengths genuinely agree. Either form is reachable by a malicious, compromised, or man-in-the-middle update server (TLS is optional and, when enabled, does not protect against a hostile server), with no authentication of response content and no client-side length cap protecting the write.

The out-of-bounds write is a fixed single NUL byte immediately following the allocation, corrupting adjacent allocator metadata or the next allocation. The practical impact is heap corruption leading to denial of service (fault on a subsequent allocation or free), with the bounded, allocator-dependent possibility of further corruption. The fix sizes the buffer to the body length plus one and copies with memcpy, ensuring the terminator always lands within the allocation.

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