Live Exposure Defense: From CVE to Confirmed Exposure in 12 Hours – See more

Back
New CVE Detected

CVE-2026-63637 – DQL Injection – Dgraph prior to 25.3.8

Be the first to know when new zero-days emerge:

Subscribe to Email Alerts
Subscribe to RSS Feed

Summary

CVE-2026-63637 is a DQL injection vulnerability in Dgraph, an open-source distributed GraphQL database. The GraphQL query rewriter fails to sanitize regexp filter arguments before converting them into DQL, allowing an unauthenticated network attacker to inject DQL operators and bypass intended filters. It carries a CVSS v3.1 base score of 8.6 (High).

Technical details

  • Root cause: The maybeQuoteArg function in the GraphQL query rewriter (graphql/resolve/query_rewriter.go) skips escaping for regexp filters, returning attacker-supplied input unquoted so it flows directly into the generated DQL string.
  • Trigger conditions: Crafted GraphQL queries or mutations that supply a malicious value to a regexp filter argument, closing the regex literal and appending arbitrary DQL logic.
  • Attack vector: Network, low complexity, no privileges and no user interaction required.
  • Impact: Disclosure of unintended nodes by bypassing intended filters, and expansion of the targets of modification and deletion operations. Rated high confidentiality impact with low integrity and availability impact.

Affected software

  • Dgraph versions prior to 25.3.8 (v25.3.7 and earlier).

Severity

  • CVSS v3.1 base score: 8.6 (High)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L

Mitigation and recommended actions

  • Immediate: Upgrade to Dgraph 25.3.8 or later, which fixes the flaw.
  • If no patch can be applied: Restrict network access to the Dgraph GraphQL endpoint, and validate or reject regexp filter values that contain unescaped closing delimiters or DQL operators before they reach the database.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Page title: Dgraph Ratel, Ratel, Ratel - Dgraph

References

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
Get Exposure Report

How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
Get Exposure Report
Close

Subscribe to Threat Center RSS

Copy/paste the link below into your preferred RSS reader or follow these instructions to subscribe to Slack alerts.

Open RSS feedSlack setup instructions

Close

Get Real-Time CVE Alerts to Your Email

Be the first to know when new zero-days emerge