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Sound the depths of every vulnerability.

Newly released CVEs across every platform — sleek to read, verbose on demand, and served raw as markdown for AI and agent ingestion. Severity reads as depth: the deeper the contact, the graver the threat.

Browse the feed For agents → /llms.txt

Depth = severity + exploitation

HadalCritical and actively exploited (CISA KEV / 0day)
AbyssalCritical with a public exploit or in-the-wild use
MidnightCritical, or high with PoC / in-the-wild
TwilightHigh severity, or a signal on a lesser flaw
SunlitLow / medium · no exploitation signal

69282

Tracked CVEs

6430

Critical

702

Exploited in wild

4715

Last 7 days

Trending now

Bluesky + Hacker News mentions, last 7 days

1CVE-2026-109618Critical· 9.2RCE via OOM corruption4896
2CVE-2026-109619Critical· 9.2RCE via stale global state2196
3CVE-2026-111497Critical· 9.2Out-of-Bounds Write in Google Brotli Decoder1587
4CVE-2026-99999Critical· 9.3In the Linux kernel, the following vulnerability has been resolved: ipv4: validate checksum_start before completing checksum If a packet with bad checksum metadata gets into the ipv4 stack, skb_checksum_help can corrupt the network hea…963
5CVE-2026-110264Critical· 10.0Integer Overflow or Wraparound in GitLab267
6CVE-2026-108707Critical· 9.8Wukong_HRM through commit 186115e contains an authentication bypass vulnerability in ParamAspect that allows unauthenticated attackers to call every HRM API endpoint by omitting the AUTH-TOKEN header266

This week's digest →All digests

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54 matches

CVE-2026-116691Medium· 6.5

yesterday

MLflow CrewAI autologging records LLM provider API keys in logged trace spans

▾ Sunlitmlflow · mlflowEPSS 0.21%via OSV

CVE-2026-116692Critical· 9.8PoC

yesterday

MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed arti…

MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed artifact modules

▾ Abyssalmlflow · mlflowEPSS 0.70%via OSV

CVE-2026-116690High· 7.5

yesterday

MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in _create_model_version() accepts schemeless relative sources because path vali…

▾ Twilightmlflow · mlflowEPSS 0.56%via CVEORG

CVE-2026-115886Medium· 6.5

5d ago

MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints

▾ Sunlitmlflow · mlflowEPSS 0.32%via OSV

CVE-2026-53995High· 8.2PoC

1w ago

MLflow 3.17.1 and prior Path Traversal via Trace ID API

MLflow 3.17.1 and earlier contains a path traversal vulnerability in the FileStore tracking backend that allows unauthenticated attackers to control filesystem paths by submitting a crafted trace ID containing traversal sequences to the …

▾ Midnightmlflow · mlflowEPSS 0.60%via CVEORG

CVE-2026-96804High· 8.8

1mo ago

MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

▾ TwilightMLflow · MLflowEPSS 0.75%via NVD

CVE-2026-96775High· 8.8

1mo ago

MLflow's dspy flavor, versions >= 2.0, applies the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control only when the model_path ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

MLflow's dspy flavor, versions >= 2.0, applies the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control only when the model_path ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

▾ TwilightMLflow · MLflowEPSS 0.65%via NVD

CVE-2026-79721High· 8.6

1mo ago

Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously crafted model artifact to execute arbitrary code on an end user's system when loaded by the project.

Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously crafted model artifact to execute arbitrary code on an end user's system when loaded by the project.

▾ Twilightmlflow · mlflowEPSS 0.47%via NVD

GHSA-gqvg-gmmx-x4hmHigh· 8.8

1mo ago

MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact

▾ Twilightmlflow · mlflowvia GHSA

CVE-2026-69146Medium· 6.5

2mo ago

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFORE_REQUEST_HANDLERS in the mlflow/server/auth package, allowing any a…

▾ Sunlitmlflow · mlflowEPSS 0.39%via NVD

CVE-2026-69148High· 7.1

2mo ago

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a run_id or model_id after _validate_source_run() or _validate_source_model() in…

▾ Twilightmlflow · mlflowEPSS 0.37%via NVD

CVE-2026-71211High· 7.1PoC

2mo ago

MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim

MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy…

▾ Midnightmlflow · mlflowEPSS 0.29%via NVD

CVE-2026-8147High· 8.1

3mo ago

MLflow: trace API endpoints lack proper authorization validators

▾ Twilightmlflow · mlflowEPSS 0.55%via OSV

CVE-2026-4035Critical· 9.1

4mo ago

MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration

▾ Midnightmlflow · mlflowEPSS 0.52%via OSV

CVE-2026-3198Medium· 6.5

4mo ago

MLflow: Any authenticated user can enumerate all gateway secrets, endpoints, and model definitions

▾ Sunlitmlflow · mlflowEPSS 0.24%via OSV

CVE-2026-2651Critical· 9.0

5mo ago

MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled

▾ Midnightmlflow · mlflowEPSS 0.34%via OSV

CVE-2026-2734Medium· 6.5

5mo ago

MLflow authenticated users can enumerate any registered model versions due to lack of per-model permissions checks

▾ Sunlitmlflow · mlflowEPSS 0.44%via OSV

CVE-2026-4137High· 7.0

5mo ago

MLflow has a command injection in mlflow/sagemaker/init.py

MLflow has a command injection in mlflow/sagemaker/__init__.py

▾ Twilightmlflow · mlflowEPSS 1.5%via OSV

CVE-2026-2033High· 8.10day

8mo ago

MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability

▾ Abyssalmlflow · mlflowEPSS 1.8%via OSV

From the blog

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Oct 27, 2026

Sound the depths of every vulnerability.

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MLflow CrewAI autologging records LLM provider API keys in logged trace spans

MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed arti…

MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints

MLflow 3.17.1 and prior Path Traversal via Trace ID API

MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

MLflow's dspy flavor, versions >= 2.0, applies the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control only when the model_path ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously crafted model artifact to execute arbitrary code on an end user's system when loaded by the project.

MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim

MLflow: trace API endpoints lack proper authorization validators

MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration

MLflow: Any authenticated user can enumerate all gateway secrets, endpoints, and model definitions

MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled

MLflow authenticated users can enumerate any registered model versions due to lack of per-model permissions checks

MLFlow Creates a Temporary File With Insecure Permissions

MLflow: unauthenticated access to certain FastAPI routes

MLflow Has a Server-Side Request Forgery (SSRF) Vulnerability

MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint

MLFlow path traversal vulnerability

Arbitrary file write via tar traversal in mlflow

MLflow has a command injection in mlflow/sagemaker/__init__.py

MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability

From the blog

VulnSea has moved to vulnsea.com (and what changed since September)

What's new: open corpus, three new MCP tools, vendor advisories, package pages

Wiring VulnSea into an agent: a hands-on tutorial

Sound the depths of every vulnerability.

Trending now

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MLflow CrewAI autologging records LLM provider API keys in logged trace spans

MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed arti…

MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints

MLflow 3.17.1 and prior Path Traversal via Trace ID API

MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

MLflow's dspy flavor, versions >= 2.0, applies the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control only when the model_path ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously crafted model artifact to execute arbitrary code on an end user's system when loaded by the project.

MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim

MLflow: trace API endpoints lack proper authorization validators

MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration

MLflow: Any authenticated user can enumerate all gateway secrets, endpoints, and model definitions

MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled

MLflow authenticated users can enumerate any registered model versions due to lack of per-model permissions checks

MLFlow Creates a Temporary File With Insecure Permissions

MLflow: unauthenticated access to certain FastAPI routes

MLflow Has a Server-Side Request Forgery (SSRF) Vulnerability

MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint

MLFlow path traversal vulnerability

Arbitrary file write via tar traversal in mlflow

MLflow has a command injection in mlflow/sagemaker/__init__.py

MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability

From the blog

VulnSea has moved to vulnsea.com (and what changed since September)

What's new: open corpus, three new MCP tools, vendor advisories, package pages

Wiring VulnSea into an agent: a hands-on tutorial

MLflow has a command injection in mlflow/sagemaker/init.py

MLflow has a command injection in mlflow/sagemaker/init.py