Hasura GraphQL 1.3.3 contains a server-side request forgery vulnerability that allows attackers to inject arbitrary remote schema URLs through the add_remote_schema endpoint. Attackers can exploit the vulnerability by sending crafted POST requests to the /v1/query endpoint with malicious URL definitions to potentially access internal network resources.
Security readout for executives and security teams
Plain-English summary
CVE-2021-47715 is an SSRF issue in Hasura GraphQL 1.3.3. An attacker may be able to make the server contact URLs they choose through remote schema configuration, potentially reaching internal services that are not directly internet-facing.
Executive priority
Prioritize internet-exposed or weakly restricted Hasura 1.3.3 systems. The business risk is internal resource exposure through the application server, with public exploit material but no confirmed active exploitation in the supplied sources.
Technical view
The vulnerability is tied to remote schema injection through the add_remote_schema operation on /v1/query. Sources describe arbitrary remote schema URLs causing server-side requests. The record lists CWE-918 and CVSS v4.0 score 6.9. Only Hasura GraphQL 1.3.3 is identified as affected.
Likely exposure
Exposure is most likely where Hasura GraphQL 1.3.3 is deployed and /v1/query or remote schema administration is reachable by untrusted users or networks.
Exploitation context
An ExploitDB reference exists, but the source bundle does not show CISA KEV listing or confirmed active exploitation. Treat exploit availability as a validation priority, not proof of compromise.
Researcher notes
Evidence is narrow: affected version 1.3.3, SSRF via remote schema URL injection, and public exploit reference. The bundle does not name a patch, commit, broader version range, or confirmed exploitation campaign.
Mitigation direction
Identify and prioritize any Hasura GraphQL 1.3.3 deployments.
Check Hasura vendor guidance for fixed versions or supported remediation.
Restrict /v1/query and remote schema administration to trusted operators only.
Limit Hasura outbound network access to approved destinations where feasible.
Remove unexpected or untrusted remote schema definitions.
Validation and detection
Confirm the running Hasura GraphQL version on each deployment.
Review whether /v1/query is reachable from untrusted networks.
Inspect metadata for remote schemas pointing to unexpected URLs.
Review logs for add_remote_schema activity from unusual users or sources.
Check egress logs for Hasura requests to internal or sensitive endpoints.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
cwe · medium confidence lookup
CWE-918: Information exposure and cloud metadata lookup
Information exposure and SSRF weaknesses can make discovery, cloud metadata, and credential material review relevant. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
The CVE wording references SSRF or metadata access, so cloud discovery and credential material review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.