{"id":"CVE-2026-7700","aliases":["EUVD-2026-26838","GHSA-9fpm-3445-2vx4","GHSA-hhxr-7j22-694r","PYSEC-2026-4232"],"status":"published","title":"langflow-ai langflow LambdaFilterComponent lambda_filter.py eval code injection","description":"A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.","severity":{"version":"4.0","score":5.3,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P","level":"medium","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-09","score":0.00314,"percentile":0.24509,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-74","CWE-94"],"published":"2026-05-03T14:15:15Z","modified":"2026-11-04T02:47:51Z","fixes":[{"ecosystem":"PyPI","package":"langflow","fixed_in":["1.10.3"],"sources":["ghsa","osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"langflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.3.0"},{"fixed":"1.10.3"}]}]},{"source":"osv","ecosystem":"PyPI","package":"langflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.3.0"},{"fixed":"1.10.3"}]}],"versions":["1.10.0","1.10.0rc0","1.10.1","1.10.1rc0","1.10.1rc3","1.10.2","1.10.2rc4","1.10.3rc0","1.3.0","1.3.1","1.3.2","1.3.3","1.3.4","1.4.0","1.4.1","1.4.2","1.4.3","1.5.0","1.5.0.post1","1.5.0.post2","1.5.1","1.6.0","1.6.1","1.6.2","1.6.3","1.6.4","1.6.5","1.6.6","1.6.7","1.6.8","1.6.9","1.7.0","1.7.1","1.7.2","1.7.3","1.8.0","1.8.0rc0","1.8.0rc1","1.8.0rc2","1.8.0rc3","1.8.0rc4","1.8.0rc5","1.8.0rc6","1.8.1","1.8.2","1.8.3","1.8.3rc0","1.8.4","1.9.0","1.9.1","1.9.2","1.9.3","1.9.3rc0","1.9.4","1.9.5","1.9.6","1.9.6rc0"]},{"source":"osv","ecosystem":"PyPI","package":"langflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.3.0"},{"fixed":"1.10.3"}]}],"versions":["1.10.0","1.10.0rc0","1.10.1","1.10.1rc0","1.10.1rc3","1.10.2","1.10.2rc4","1.10.3rc0","1.3.0","1.3.1","1.3.2","1.3.3","1.3.4","1.4.0","1.4.1","1.4.2","1.4.3","1.5.0","1.5.0.post1","1.5.0.post2","1.5.1","1.6.0","1.6.1","1.6.2","1.6.3","1.6.4","1.6.5","1.6.6","1.6.7","1.6.8","1.6.9","1.7.0","1.7.1","1.7.2","1.7.3","1.8.0","1.8.0rc0","1.8.0rc1","1.8.0rc2","1.8.0rc3","1.8.0rc4","1.8.0rc5","1.8.0rc6","1.8.1","1.8.2","1.8.3","1.8.3rc0","1.8.4","1.9.0","1.9.1","1.9.2","1.9.3","1.9.3rc0","1.9.4","1.9.5","1.9.6","1.9.6rc0"]}],"products":[{"vendor":"langflow-ai","product":"langflow"}],"references":[{"url":"https://vuldb.com/vuln/360869","tags":["vdb-entry","technical-description","advisory","web"]},{"url":"https://vuldb.com/vuln/360869/cti","tags":["signature","permissions-required","report","web"]},{"url":"https://vuldb.com/cve/CVE-2026-7700","tags":["third-party-advisory","advisory"]},{"url":"https://vuldb.com/submit/804305","tags":["third-party-advisory","advisory","web"]},{"url":"https://www.yuque.com/mengnanbulalei/ognlsk/hte2a98ro5gf8tp9?singleDoc#%20%E3%80%8AFirst%20release%20of%20Langflow%201.8.3%20Smart%20Transform%20eval()/Lambda%20injection%20RCE%20vulnerability%20analysis+POC%E3%80%8B","tags":["exploit","evidence","web"]},{"url":"https://github.com/langflow-ai/langflow/security/advisories/GHSA-9fpm-3445-2vx4","tags":["related","advisory","web"]},{"url":"https://github.com/langflow-ai/langflow/","tags":["product","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-7700","tags":["advisory"]},{"url":"https://github.com/langflow-ai/langflow/pull/13530","tags":["web"]},{"url":"https://github.com/langflow-ai/langflow/commit/1641b28f33e2c47b9a0c6855922d44d1b8418b9d","tags":["web"]},{"url":"https://github.com/langflow-ai/langflow/commit/94859df33acd70b2a1f816e26d68f5e89a7e5639","tags":["web"]},{"url":"https://github.com/langflow-ai/langflow/releases/tag/v1.10.3","tags":["web"]},{"url":"https://github.com/advisories/GHSA-9fpm-3445-2vx4","tags":["advisory"]},{"url":"https://github.com/advisories/GHSA-hhxr-7j22-694r"},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/7xxx/CVE-2026-7700.json","tags":["advisory"]},{"url":"https://github.com/langflow-ai/langflow","tags":["package"]},{"url":"https://pypi.org/project/langflow","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2026-7700","title":"langflow-ai langflow LambdaFilterComponent lambda_filter.py eval code injection","description":"A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.","status":"published","published":"2026-05-03T14:15:15.887Z","modified":"2026-10-06T05:35:31.424Z","cvss":[{"version":"4.0","score":5.3,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P","level":"medium","assessor":"cna"},{"version":"3.1","score":6.3,"vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R","level":"medium","assessor":"cna"},{"version":"3.0","score":6.3,"vector":"CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R","level":"medium","assessor":"cna"},{"version":"2.0","score":6.5,"vector":"AV:N/AC:L/Au:S/C:P/I:P/A:P/E:POC/RL:ND/RC:UR","assessor":"cna"}],"cwes":["CWE-94","CWE-74"],"updated_at":"2026-11-02T14:20:06.216584Z"}],"euvd":[{"id":"EUVD-2026-26838","description":"A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.","status":"published","published":"2026-05-03T14:15:15Z","modified":"2026-10-06T05:35:31Z","cvss":[{"version":"4.0","score":5.3,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P","level":"medium"}],"updated_at":"2026-11-02T17:27:38.724649Z"}],"ghsa":[{"id":"GHSA-9fpm-3445-2vx4","title":"Langflow: Prompt injection in Langflow Smart Transform can lead to code execution","description":"## Summary\n\nLangflow versions 1.3.0 through 1.10.2 contain a code-injection vulnerability in the Smart Transform (`LambdaFilterComponent`) component.\n\nSmart Transform places flow-author instructions and a preview of its input data into a prompt asking an LLM to generate a Python lambda. It then extracts a one-line lambda from the model response, applies only syntactic format checks, evaluates it with Python's full builtins, and invokes the resulting function inside the Langflow process.\n\nA malicious flow author can exploit this directly through the Instructions field. In deployments where an exposed flow passes attacker-controlled content into Smart Transform, an attacker may also exploit it indirectly through prompt injection, subject to the configured model following the injected instruction.\n\n## Vulnerability details\n\n**Vulnerable Code Location**: `src/lfx/src/lfx/components/llm_operations/lambda_filter.py` (line 242 in v1.10.2)\n\n```python\ndef _validate_lambda(self, lambda_text: str) -\u003e bool:\n    \"\"\"Validate the provided lambda function text.\"\"\"\n    return lambda_text.strip().startswith(\"lambda\") and \":\" in lambda_text\n\n# ...\nreturn eval(lambda_text)  # noqa: S307\n```\n\nFor example, an attacker can attempt to make the model return:\n\n`lambda x: __import__(\"os\").system(\"id\")`\n\nThis expression satisfies the vulnerable format checks. `eval()` creates the lambda with access to Python's default builtins, and the subsequent `fn(data)` invocation (in `_execute_lambda`) executes the command.\n\nSuccessful exploitation allows code execution with the privileges of the Langflow service process. This can expose or modify credentials, files, application data, and network resources accessible to that process, and may affect other tenants in shared deployments.\n\n## PoC\n\nhttps://github.com/user-attachments/assets/13c48fe1-7225-4e0d-9687-2d2df1e87f0e\n\n## Fix\n\nThe reported path was addressed by validating the generated code's AST and evaluating it with a restricted builtins mapping.\n\nThe mainline fix is in PR #13530 (`1641b28f`) and shipped in Langflow 1.11.0. The 1.10.3 backport is in PR #14071 (`94859df3`). Users should upgrade to Langflow 1.10.3 or later.\n\n## Workarounds\n\nUntil an upgrade is possible:\n- Remove Smart Transform from runnable flows.\n- Restrict flow creation, editing, and execution to trusted users.\n- Do not route untrusted or externally controlled data through Smart Transform.\n- Limit the Langflow process's filesystem, network, and credential access.\n\n## Credit\n\n- **Peyton Kennedy ([p80n-sec](https://github.com/p80n-sec)) of Endor Labs** — reporter (original finder)\n- **[SZXSec](https://github.com/SZXSec)** — reporter (duplicate report)\n- **[cyjhhh](https://github.com/cyjhhh)** — reporter (duplicate report)\n- **[0gur1](https://github.com/0gur1)** — reporter (duplicate report)\n- **[ajm4n](https://github.com/ajm4n)** — reporter (duplicate report, Finding 1 of a multi-finding submission)\n- **[andifilhohub](https://github.com/andifilhohub)** — analyst\n- **Jordan Frazier ([jordanrfrazier](https://github.com/jordanrfrazier))** — remediation developer","status":"published","published":"2026-10-05T22:30:41Z","modified":"2026-10-05T22:30:42Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-94"],"updated_at":"2026-11-02T14:41:25.889593Z"},{"id":"GHSA-hhxr-7j22-694r","title":"Duplicate Advisory: Prompt injection in Langflow Smart Transform can lead to code execution","description":"## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of GHSA-9fpm-3445-2vx4. This link is maintained to preserve external references.\n\n## Original Description\nA weakness has been identified in langflow-ai langflow up to 1.8.4. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.p of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.","status":"withdrawn","published":"2026-05-03T15:30:29Z","modified":"2026-10-05T22:30:21Z","cvss":[{"version":"4.0","score":2.1,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X","level":"low"},{"version":"3.1","score":6.3,"vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L","level":"medium"}],"cwes":["CWE-74"],"updated_at":"2026-11-02T14:41:25.889593Z"}],"nvd":[{"id":"CVE-2026-7700","description":"A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.","status":"published","published":"2026-05-03T15:15:59.693Z","modified":"2026-10-06T06:17:01.897Z","cvss":[{"version":"4.0","score":2.1,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X","level":"low","assessor":"secondary"},{"version":"3.1","score":6.3,"vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L","level":"medium","assessor":"secondary"},{"version":"2.0","score":6.5,"vector":"AV:N/AC:L/Au:S/C:P/I:P/A:P","level":"medium","assessor":"secondary"}],"cwes":["CWE-74","CWE-94"],"updated_at":"2026-11-02T14:12:17.022502Z"}],"osv":[{"id":"CVE-2026-7700","title":"langflow-ai langflow LambdaFilterComponent lambda_filter.py eval code injection","description":"A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.","status":"published","published":"2026-05-03T14:15:15.887Z","modified":"2026-11-04T02:47:51.608761844Z","cvss":[{"version":"4.0","score":2.1,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P","level":"low"}],"cwes":["CWE-74","CWE-94"],"updated_at":"2026-11-04T02:53:00.786919Z"},{"id":"GHSA-9fpm-3445-2vx4","title":"Langflow: Prompt injection in Langflow Smart Transform can lead to code execution","description":"## Summary\n\nLangflow versions 1.3.0 through 1.10.2 contain a code-injection vulnerability in the Smart Transform (`LambdaFilterComponent`) component.\n\nSmart Transform places flow-author instructions and a preview of its input data into a prompt asking an LLM to generate a Python lambda. It then extracts a one-line lambda from the model response, applies only syntactic format checks, evaluates it with Python's full builtins, and invokes the resulting function inside the Langflow process.\n\nA malicious flow author can exploit this directly through the Instructions field. In deployments where an exposed flow passes attacker-controlled content into Smart Transform, an attacker may also exploit it indirectly through prompt injection, subject to the configured model following the injected instruction.\n\n## Vulnerability details\n\n**Vulnerable Code Location**: `src/lfx/src/lfx/components/llm_operations/lambda_filter.py` (line 242 in v1.10.2)\n\n```python\ndef _validate_lambda(self, lambda_text: str) -\u003e bool:\n    \"\"\"Validate the provided lambda function text.\"\"\"\n    return lambda_text.strip().startswith(\"lambda\") and \":\" in lambda_text\n\n# ...\nreturn eval(lambda_text)  # noqa: S307\n```\n\nFor example, an attacker can attempt to make the model return:\n\n`lambda x: __import__(\"os\").system(\"id\")`\n\nThis expression satisfies the vulnerable format checks. `eval()` creates the lambda with access to Python's default builtins, and the subsequent `fn(data)` invocation (in `_execute_lambda`) executes the command.\n\nSuccessful exploitation allows code execution with the privileges of the Langflow service process. This can expose or modify credentials, files, application data, and network resources accessible to that process, and may affect other tenants in shared deployments.\n\n## PoC\n\nhttps://github.com/user-attachments/assets/13c48fe1-7225-4e0d-9687-2d2df1e87f0e\n\n## Fix\n\nThe reported path was addressed by validating the generated code's AST and evaluating it with a restricted builtins mapping.\n\nThe mainline fix is in PR #13530 (`1641b28f`) and shipped in Langflow 1.11.0. The 1.10.3 backport is in PR #14071 (`94859df3`). Users should upgrade to Langflow 1.10.3 or later.\n\n## Workarounds\n\nUntil an upgrade is possible:\n- Remove Smart Transform from runnable flows.\n- Restrict flow creation, editing, and execution to trusted users.\n- Do not route untrusted or externally controlled data through Smart Transform.\n- Limit the Langflow process's filesystem, network, and credential access.\n\n## Credit\n\n- **Peyton Kennedy ([p80n-sec](https://github.com/p80n-sec)) of Endor Labs** — reporter (original finder)\n- **[SZXSec](https://github.com/SZXSec)** — reporter (duplicate report)\n- **[cyjhhh](https://github.com/cyjhhh)** — reporter (duplicate report)\n- **[0gur1](https://github.com/0gur1)** — reporter (duplicate report)\n- **[ajm4n](https://github.com/ajm4n)** — reporter (duplicate report, Finding 1 of a multi-finding submission)\n- **[andifilhohub](https://github.com/andifilhohub)** — analyst\n- **Jordan Frazier ([jordanrfrazier](https://github.com/jordanrfrazier))** — remediation developer","status":"published","published":"2026-10-05T22:30:41Z","modified":"2026-10-15T14:55:44.304926081Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-94"],"updated_at":"2026-11-02T15:46:43.524801Z"},{"id":"GHSA-hhxr-7j22-694r","title":"Duplicate Advisory: Prompt injection in Langflow Smart Transform can lead to code execution","description":"## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of GHSA-9fpm-3445-2vx4. This link is maintained to preserve external references.\n\n## Original Description\nA weakness has been identified in langflow-ai langflow up to 1.8.4. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.p of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.","status":"withdrawn","published":"2026-05-03T15:30:29Z","modified":"2026-10-05T22:45:05.555514015Z","cvss":[{"version":"3.1","score":6.3,"vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L","level":"medium"},{"version":"4.0","score":2.1,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X","level":"low"}],"cwes":["CWE-74"],"updated_at":"2026-11-02T15:46:49.28217Z"},{"id":"PYSEC-2026-4232","title":"Langflow: Prompt injection in Langflow Smart Transform can lead to code execution","description":"## Summary\n\nLangflow versions 1.3.0 through 1.10.2 contain a code-injection vulnerability in the Smart Transform (`LambdaFilterComponent`) component.\n\nSmart Transform places flow-author instructions and a preview of its input data into a prompt asking an LLM to generate a Python lambda. It then extracts a one-line lambda from the model response, applies only syntactic format checks, evaluates it with Python's full builtins, and invokes the resulting function inside the Langflow process.\n\nA malicious flow author can exploit this directly through the Instructions field. In deployments where an exposed flow passes attacker-controlled content into Smart Transform, an attacker may also exploit it indirectly through prompt injection, subject to the configured model following the injected instruction.\n\n## Vulnerability details\n\n**Vulnerable Code Location**: `src/lfx/src/lfx/components/llm_operations/lambda_filter.py` (line 242 in v1.10.2)\n\n```python\ndef _validate_lambda(self, lambda_text: str) -\u003e bool:\n    \"\"\"Validate the provided lambda function text.\"\"\"\n    return lambda_text.strip().startswith(\"lambda\") and \":\" in lambda_text\n\n# ...\nreturn eval(lambda_text)  # noqa: S307\n```\n\nFor example, an attacker can attempt to make the model return:\n\n`lambda x: __import__(\"os\").system(\"id\")`\n\nThis expression satisfies the vulnerable format checks. `eval()` creates the lambda with access to Python's default builtins, and the subsequent `fn(data)` invocation (in `_execute_lambda`) executes the command.\n\nSuccessful exploitation allows code execution with the privileges of the Langflow service process. This can expose or modify credentials, files, application data, and network resources accessible to that process, and may affect other tenants in shared deployments.\n\n## PoC\n\nhttps://github.com/user-attachments/assets/13c48fe1-7225-4e0d-9687-2d2df1e87f0e\n\n## Fix\n\nThe reported path was addressed by validating the generated code's AST and evaluating it with a restricted builtins mapping.\n\nThe mainline fix is in PR #13530 (`1641b28f`) and shipped in Langflow 1.11.0. The 1.10.3 backport is in PR #14071 (`94859df3`). Users should upgrade to Langflow 1.10.3 or later.\n\n## Workarounds\n\nUntil an upgrade is possible:\n- Remove Smart Transform from runnable flows.\n- Restrict flow creation, editing, and execution to trusted users.\n- Do not route untrusted or externally controlled data through Smart Transform.\n- Limit the Langflow process's filesystem, network, and credential access.\n\n## Credit\n\n- **Peyton Kennedy ([p80n-sec](https://github.com/p80n-sec)) of Endor Labs** — reporter (original finder)\n- **[SZXSec](https://github.com/SZXSec)** — reporter (duplicate report)\n- **[cyjhhh](https://github.com/cyjhhh)** — reporter (duplicate report)\n- **[0gur1](https://github.com/0gur1)** — reporter (duplicate report)\n- **[ajm4n](https://github.com/ajm4n)** — reporter (duplicate report, Finding 1 of a multi-finding submission)\n- **[andifilhohub](https://github.com/andifilhohub)** — analyst\n- **Jordan Frazier ([jordanrfrazier](https://github.com/jordanrfrazier))** — remediation developer","status":"published","published":"2026-10-15T10:22:44.057839Z","modified":"2026-10-15T14:45:08.245738003Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:57.671918Z"}]}}