🚨 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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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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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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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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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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GitHub
GitHub - NationalSecurityAgency/ghidra: Ghidra is a software reverse engineering (SRE) framework
Ghidra is a software reverse engineering (SRE) framework - NationalSecurityAgency/ghidra
🚨 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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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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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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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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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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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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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' — 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 — 1100 bytes with the default initial buffer — 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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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' — 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 — 1100 bytes with the default initial buffer — 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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GitHub
mgmt: hawkbit: fix of by one error · zephyrproject-rtos/zephyr@59d7ab5
Make sure that the the added `/0`
char has enough space at the end.
Signed-off-by: Fin Maaß <f.maass@vogl-electronic.com>
char has enough space at the end.
Signed-off-by: Fin Maaß <f.maass@vogl-electronic.com>
🚨 CVE-2026-18667
A vulnerability in Tenable Sensor Proxy allows a remote attacker to execute code with elevated privileges by inducing an operator to connect the sensor to an attacker-controlled host.
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A vulnerability in Tenable Sensor Proxy allows a remote attacker to execute code with elevated privileges by inducing an operator to connect the sensor to an attacker-controlled host.
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Tenable®
[R1] Sensor Proxy Version 1.4.2 Fixes One Vulnerability
A vulnerability in Tenable Sensor Proxy allows a remote attacker to execute code with elevated privileges by inducing an operator to connect the sensor to an attacker-controlled host.
🚨 CVE-2026-67978
An issue in the SBN UDP interface of NASA cFS v7.0.1 allows attackers to cause a Denial of Service (DoS) via transmitting a crafted SBN frame.
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An issue in the SBN UDP interface of NASA cFS v7.0.1 allows attackers to cause a Denial of Service (DoS) via transmitting a crafted SBN frame.
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GitHub
[SECURITY] SBN UDP Information Disclosure via Truncated Frame Expansion in cFS · Issue #1058 · nasa/cFS
Checklist (Please check before submitting) [V] I reviewed the Contributing Guide. [V] I performed a cursory search to see if the bug report is relevant, not redundant, nor in conflict with other ti...
🚨 CVE-2026-11835
Time-of-check time-of-use (TOCTOU) vulnerability combined with missing input validation in Caliptra Core ROM (UpdateResetFlow::run()) in subsystem mode allows a compromised local attacker to silently bypass secure boot by supplying an AXI staging address that is not validated against the strap-configured SS_EXTERNAL_STAGING_AREA_BASE_ADDR, enabling firmware to be modified between verification and loading into ICCM. Attestation continues to report the originally verified image digest, masking the compromise. Exploitation requires a compromised MCU firmware with AXI manager access to unprotected SRAM reachable by Caliptra.
This issue affects Core ROM: 2.1.0 through 2.1.1.
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Time-of-check time-of-use (TOCTOU) vulnerability combined with missing input validation in Caliptra Core ROM (UpdateResetFlow::run()) in subsystem mode allows a compromised local attacker to silently bypass secure boot by supplying an AXI staging address that is not validated against the strap-configured SS_EXTERNAL_STAGING_AREA_BASE_ADDR, enabling firmware to be modified between verification and loading into ICCM. Attestation continues to report the originally verified image digest, masking the compromise. Exploitation requires a compromised MCU firmware with AXI manager access to unprotected SRAM reachable by Caliptra.
This issue affects Core ROM: 2.1.0 through 2.1.1.
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GitHub
Caliptra Update-Reset Secure-Boot Bypass via Attacker-Chosen AXI Staging Address (TOCTOU)
The Caliptra update-reset flow in subsystem mode reads the incoming FW address from per-command mailbox fields without range-checking it against the strap-configured SS_EXTERNAL_STAGING_AREA_BASE_A...
🚨 CVE-2026-11836
Insufficient verification of data authenticity in Caliptra Core ROM and Core Firmware (validate_debug_unlock_token()) in subsystem mode allows an attacker with access to the integrator's debug unlock signing service to unlock production debug on an unintended device by presenting a valid token issued for a different device sharing the same debug unlock key hash. The 384-bit challenge nonce continues to prevent replay of previously issued tokens. Practical impact is limited to loss of per-device scope enforcement within a set of devices that share the same unlock authority by design; it does not enable debug unlock on devices outside that set.
This issue affects Core ROM: 2.0.0 through 2.0.2, 2.1.0 through 2.1.1; Core Firmware: 2.0.0 through 2.0.1, 2.1.0.
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Insufficient verification of data authenticity in Caliptra Core ROM and Core Firmware (validate_debug_unlock_token()) in subsystem mode allows an attacker with access to the integrator's debug unlock signing service to unlock production debug on an unintended device by presenting a valid token issued for a different device sharing the same debug unlock key hash. The 384-bit challenge nonce continues to prevent replay of previously issued tokens. Practical impact is limited to loss of per-device scope enforcement within a set of devices that share the same unlock authority by design; it does not enable debug unlock on devices outside that set.
This issue affects Core ROM: 2.0.0 through 2.0.2, 2.1.0 through 2.1.1; Core Firmware: 2.0.0 through 2.0.1, 2.1.0.
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GitHub
Production Debug-Unlock Token Verification Missing Device Binding
The subsystem mode production debug-unlock signature verification does not bind the signed challenge response to the target device's Unique Device Identifier (UDI). The intent of including the ...
🚨 CVE-2026-16881
A code injection vulnerability exists in the LINE Android app prior to version 26.7.2.
The profile rendering component does not adequately validate or sandbox externally supplied script content embedded in profile templates.
As a result, an attacker who is able to place crafted content in a profile could cause unintended code to execute with the application's privileges when a victim views that profile.
A server-side mitigation has been deployed that also protects existing Android clients that have not been updated to version 26.7.2.
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A code injection vulnerability exists in the LINE Android app prior to version 26.7.2.
The profile rendering component does not adequately validate or sandbox externally supplied script content embedded in profile templates.
As a result, an attacker who is able to place crafted content in a profile could cause unintended code to execute with the application's privileges when a victim views that profile.
A server-side mitigation has been deployed that also protects existing Android clients that have not been updated to version 26.7.2.
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🚨 CVE-2026-69250
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the OAuth2 token refresh endpoint POST /api/v1/oauth2-credential/refresh/:credentialId is unauthenticated by design and performs a server-side HTTP request to the credential-controlled accessTokenUrl without SSRF protections. Runtime validation confirmed that the endpoint was reachable without authentication, triggered outbound POST requests to an attacker-controlled server, reflected the full remote response body to the caller through tokenInfo, and sent client_id, client_secret, grant_type=refresh_token, and refresh_token in the request body. This issue is fixed in version 3.1.3.
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Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the OAuth2 token refresh endpoint POST /api/v1/oauth2-credential/refresh/:credentialId is unauthenticated by design and performs a server-side HTTP request to the credential-controlled accessTokenUrl without SSRF protections. Runtime validation confirmed that the endpoint was reachable without authentication, triggered outbound POST requests to an attacker-controlled server, reflected the full remote response body to the caller through tokenInfo, and sent client_id, client_secret, grant_type=refresh_token, and refresh_token in the request body. This issue is fixed in version 3.1.3.
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GitHub
Fix FLOWISE 566 OAuth2 (#6276) · FlowiseAI/Flowise@da8b251
* fix: flowise 556 oauth2
* fix(flowise-566): code review suggestions from Gemini
* feat(oauth2Security.test.ts): add test script
* feat(constants.ts): add Pipedream to default OAuth2 allowed do...
* fix(flowise-566): code review suggestions from Gemini
* feat(oauth2Security.test.ts): add test script
* feat(constants.ts): add Pipedream to default OAuth2 allowed do...
🚨 CVE-2025-29296
H3C Magic BE18000 V200R007, H3C NX400 V100R015, H3C Magic NX30 Pro V100R0011, H3C Magic R3010 V100R009, H3C Magic NX15 V100R017, H3C Magic R1510 V100R016, and H3C NE36 Pro V100R002 contain multiple command injection vulnerabilities in the /api/esps request handler. The affected object interfaces and methods are esps.dhcpd.vlan (getlist, delete), esps.filter.url (add, modify), esps.apcm.version (delete, H3C Magic NX15 only), esps.swcm.version (delete, upgrade, all affected models except H3C Magic NX15), and esps.system.ntp (set, all affected models except H3C Magic NX15). Attacker-controlled request parameters are incorporated into shell expressions executed by eval without adequate validation, allowing a remote attacker to execute arbitrary commands as root and gain complete control of the affected device.
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H3C Magic BE18000 V200R007, H3C NX400 V100R015, H3C Magic NX30 Pro V100R0011, H3C Magic R3010 V100R009, H3C Magic NX15 V100R017, H3C Magic R1510 V100R016, and H3C NE36 Pro V100R002 contain multiple command injection vulnerabilities in the /api/esps request handler. The affected object interfaces and methods are esps.dhcpd.vlan (getlist, delete), esps.filter.url (add, modify), esps.apcm.version (delete, H3C Magic NX15 only), esps.swcm.version (delete, upgrade, all affected models except H3C Magic NX15), and esps.system.ntp (set, all affected models except H3C Magic NX15). Attacker-controlled request parameters are incorporated into shell expressions executed by eval without adequate validation, allowing a remote attacker to execute arbitrary commands as root and gain complete control of the affected device.
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FirmHarness’s Space on Notion
Multiple Command Injection Vulnerabilities in Several H3C Network Devices | Notion
Product Information
🚨 CVE-2026-48121
@langchain/langgraph-checkpoint-mongodb provides a LangGraph.js CheckpointSaver implementation that uses MongoDB for storage. Versions 1.3.0 and below are vulnerable to NoSQL injection: checkpoint identifiers (thread_id, checkpoint_ns, checkpoint_id) from config.configurable are passed into MongoDB find() queries in MongoDBSaver.getTuple() without type enforcement. If an attacker supplies an object payload (such as MongoDB operators $gt or $ne) instead of a string, it can be interpreted as a query operator, bypassing thread scoping and leaking checkpoints, including pending writes, across tenants. Applications are at risk if they forward untrusted input into config.configurable without coercing it to strings or validating it against a schema, particularly in multi-tenant or user-isolated setups. Apps that only use server-issued, string-typed identifiers with schema validation rejecting non-string fields are not affected. This issue has been fixed in version 1.3.1.
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@langchain/langgraph-checkpoint-mongodb provides a LangGraph.js CheckpointSaver implementation that uses MongoDB for storage. Versions 1.3.0 and below are vulnerable to NoSQL injection: checkpoint identifiers (thread_id, checkpoint_ns, checkpoint_id) from config.configurable are passed into MongoDB find() queries in MongoDBSaver.getTuple() without type enforcement. If an attacker supplies an object payload (such as MongoDB operators $gt or $ne) instead of a string, it can be interpreted as a query operator, bypassing thread scoping and leaking checkpoints, including pending writes, across tenants. Applications are at risk if they forward untrusted input into config.configurable without coercing it to strings or validating it against a schema, particularly in multi-tenant or user-isolated setups. Apps that only use server-issued, string-typed identifiers with schema validation rejecting non-string fields are not affected. This issue has been fixed in version 1.3.1.
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GitHub
fix(langgraph-checkpoint-mongodb): validate configurable checkpoint I… · langchain-ai/langgraphjs@284226c
…Ds (#2397)
## Summary
Fixes #2351
This change hardens `@langchain/langgraph-checkpoint-mongodb` against
object-based configurable input in checkpoint identifiers. It adds
runtime validation for...
## Summary
Fixes #2351
This change hardens `@langchain/langgraph-checkpoint-mongodb` against
object-based configurable input in checkpoint identifiers. It adds
runtime validation for...
🚨 CVE-2026-69255
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent in packages/components/nodes/agents/CSVAgent/CSVAgent.ts extracted attacker-controlled CSV data with file.split(',').pop() and interpolated it directly into executable Python as base64_string = "${base64String}" before calling Pyodide. The validatePythonCodeForDataFrame() denylist only checked later LLM-generated code and did not validate this initial code block. An authenticated attacker could inject a closing quote followed by Python code, use Pyodide's js bridge to load Node.js child_process, and execute arbitrary operating system commands as root in the Flowise container. This issue is fixed in version 3.1.3.
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Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent in packages/components/nodes/agents/CSVAgent/CSVAgent.ts extracted attacker-controlled CSV data with file.split(',').pop() and interpolated it directly into executable Python as base64_string = "${base64String}" before calling Pyodide. The validatePythonCodeForDataFrame() denylist only checked later LLM-generated code and did not validate this initial code block. An authenticated attacker could inject a closing quote followed by Python code, use Pyodide's js bridge to load Node.js child_process, and execute arbitrary operating system commands as root in the Flowise container. This issue is fixed in version 3.1.3.
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GitHub
Fix Flowise 606 (#6499) · FlowiseAI/Flowise@f4e2794
fix(flowise-606): remove AirtableAgent and CSVAgent due to security vulnerabilities