Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessAuthenticate as free-tier user
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DeliveryCreate RestAPI data source to 169.254.169.254.nip.io
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ExploitBypass hostname-only IP filter
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ExecutionServer queries Azure IMDS
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PersistExfiltrate managed-identity token
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ImpactPivot into AKS production cluster
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Credential Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Requires an authenticated ToolJet account (the advisory states any free-tier user suffices) with the ability to create or edit a RestAPI data source, and a target deployment whose server can reach a cloud metadata endpoint - concretely demonstrated against Azure IMDS at 169.254.169.254 in an AKS-hosted instance with an attached managed identity. The bypass specifically depends on the private-IP filter checking only the hostname string, so the attacker must supply a DNS name that encodes the metadata IP (e.g. 169.254.169.254.nip.io). Limiting factors: exploitation yields valuable results only where ToolJet runs in a cloud environment exposing IMDS with a privileged identity; non-cloud or egress-restricted deployments expose only generic internal SSRF, and account registration/authentication is needed despite the published vector's PR:N. |
| Impact | Signals are mixed but lean toward a genuine priority for ToolJet operators running in Azure/AKS. The CVSS 3.1 base score of 8.3 (AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L) reflects easy network exploitation with scope change, but the published vector's PR:N conflicts with the description, which explicitly states 'any authenticated user (free tier)' is required - verify with the vendor; this is more realistically PR:L. The CVSS impact metrics (C:L/I:L/A:L) also appear conservative given that the documented outcome is theft of Azure managed-identity tokens for a production AKS cluster, which is a high-confidentiality, potentially environment-wide consequence. No EPSS score, KEV listing, or POC was provided, so there is no evidence of active or automated exploitation; risk is therefore driven by impact severity rather than confirmed exploitation pressure. The decisive factor is deployment context: ToolJet instances fronted by Azure IMDS with a privileged managed identity are high risk, whereas non-cloud or non-Azure deployments face only generic internal SSRF exposure. |
| Exploit ScenarioDerived | An authenticated free-tier ToolJet user creates a RestAPI data source pointing at http://169.254.169.254.nip.io/metadata/identity/oauth2/token (with the IMDS-required header), which resolves to the Azure link-local metadata address and slips past the hostname-only private-IP filter. ToolJet's server issues the request and returns the managed-identity access token to the attacker, who then uses it to authenticate to Azure and pivot into the AKS production cluster. No public exploit code was provided, but the technique relies only on well-known public DNS encoding services and standard IMDS request formatting. |
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Alert meAnalysisAIv1 – Jun 25, 2026
Server-side request forgery in ToolJet's RestAPI data source (versions prior to 3.20.178-lts) allows a low-privileged platform user to reach internal network endpoints because the private-IP filter validates only the hostname string rather than the resolved IP. By supplying a DNS name such as 169.254.169.254.nip.io, an attacker bypasses the filter and forces the server to query the Azure IMDS link-local endpoint, enabling theft of managed-identity tokens for the backing AKS production cluster. No public exploit identified at time of analysis and the issue is not in CISA KEV, but the cloud-credential impact makes it a high-value SSRF.
RemediationAI
Upgrade to ToolJet 3.20.178-lts, which contains the fix, per advisory GHSA-h49f-mhmm-jx4w (https://github.com/ToolJet/ToolJet/security/advisories/GHSA-h49f-mhmm-jx4w). Until patched, reduce blast radius by hardening the cloud identity layer rather than relying on the broken hostname filter: enforce IMDSv2-style protections and, where possible, block egress from the ToolJet pods/nodes to the link-local 169.254.169.254 address (for example via Kubernetes NetworkPolicy or node iptables), accepting that legitimate workloads needing IMDS will also lose access. Scope the AKS managed identity to least privilege so a stolen token grants minimal capability, and consider disabling or restricting the RestAPI data source for untrusted/free-tier users, which trades off self-service flexibility for safety. Because nip.io-style bypasses defeat naive hostname blocklists, any temporary application-layer filter should resolve the target and re-check the resulting IP, not just the string.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
The vulnerability lives in ToolJet's RestAPI data source connector, which performs HTTP requests server-side on behalf of the user. As a SSRF (CWE-918), the root cause is an allow/deny decision made on attacker-controlled input before the request is dispatched. The flawed control is an anti-SSRF guard that blocklists private/link-local IP ranges by inspecting the literal hostname string, not the address the hostname ultimately resolves to. Public DNS rebinding-style services like nip.io (and xip.io) encode an arbitrary IPv4 address inside a public-looking hostname (e.g. 169.254.169.254.nip.io → 169.254.169.254), so the string check passes while the socket connects to the cloud metadata service. In Azure/AKS deployments, IMDS at 169.254.169.254 exposes managed-identity OAuth tokens to any process that can issue HTTP requests from the node, turning an internal-tooling SSRF into a cloud identity compromise.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L
Network-reachable and low-complexity, but requires an authenticated account (PR:L); scope changes as the SSRF pivots to Azure IMDS, and stolen cloud tokens make confidentiality High.
Primary rating from Vendor (GitHub_M).
CVSS VectorVendor: GitHub_M
Lifecycle Timeline
2DescriptionCVE.org
ToolJet is the open-source foundation am AI-native platform for building and deploying internal tools, workflows and AI agents. Prior to 3.20.178-lts, there's an SSRF in the RestAPI data source component. The RestAPI data source executes HTTP requests server-side, and its private IP filter only checks the hostname string - not the resolved IP. DNS names like 169.254.169.254.nip.io resolve to the Azure IMDS link-local address and bypass the filter entirely. This allows any authenticated user (free tier) to steal Azure managed identity tokens for the AKS production cluster. This vulnerability is fixed in 3.20.178-lts.
Executive ViewAI
ToolJet versions prior to 3.20.178-lts contain a server-side request forgery vulnerability in the RestAPI data source that allows attackers to obtain managed-identity tokens for Azure Kubernetes Service production clusters. While no public exploit identified at time of analysis, the vulnerability enables attackers to bypass hostname validation and access Azure's IMDS endpoint to steal cloud credentials. Organizations running ToolJet in Azure environments face direct risk of credential compromise affecting production infrastructure and downstream cloud resources.
Vendor-released patch: ToolJet 3.20.178-lts. Interim mitigations while upgrading: (1) Implement Kubernetes network policies blocking outbound access to 169.254.169.254:80 from ToolJet pods; (2) Restrict RestAPI data source configurations to trusted internal endpoints only; (3) Apply least-privilege IAM roles to ToolJet service accounts in AKS; (4) Enable comprehensive audit logging for all RestAPI requests; (5) Monitor Azure token usage for anomalous authentication patterns that indicate potential credential theft.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.
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EUVD-2026-39469
NVD
CVE.org
EPSS
Vulnrichment
GitHub
Exploit-DB