Improper Neutralization of Special Elements in Data Query Logic Affecting github.com/dgraph-io/dgraph/v25/edgraph package, versions <25.3.3
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-GOLANG-GITHUBCOMDGRAPHIODGRAPHV25EDGRAPH-16321042
- published2 May 2026
- disclosed24 Apr 2026
- creditVladimirEliTokarev
Introduced: 24 Apr 2026
CVE-2026-41328 Â (opens in a new tab)How to fix?
Upgrade github.com/dgraph-io/dgraph/v25/edgraph to version 25.3.3 or higher.
Overview
github.com/dgraph-io/dgraph/v25/edgraph is a Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend.
Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Data Query Logic via the addQueryIfUnique function. An attacker can gain unauthorized access to all database contents by sending crafted HTTP POST requests that inject malicious payloads into the language tag position of a JSON mutation key, exploiting unsanitized input handling in DQL query construction. This is only exploitable if access control lists (ACL) are not enabled in the configuration.