CVE-2026-42198: pgjdbc Denial of Service Vulnerability
HIGHCVE-2026-42198 is a HIGH (CVSS 7.5) denial of service vulnerability (CWE-770: Allocation of Resources Without Limits or Throttling) affecting pgjdbc libraries in the Maven ecosystem. The issue involves unbounded pbkdf2 iterations in scram authentication allows cpu exhaustion dos. Remediation is available by upgrading affected packages to version 42.7.11.
CVE-2026-42198 at a Glance
Security Impact
CVSS: 7.5
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
How to Fix CVE-2026-42198
To remediate this vulnerability, upgrade all affected pgjdbc dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
<dependency>
<groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId>
<version>42.7.11</version>
</dependency>
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
mvn dependency:tree -Dincludes=org.postgresql
How to Check if You Are Affected
To determine whether your Java application is affected by CVE-2026-42198, inspect your build dependencies using the Maven Dependency Plugin:
mvn dependency:tree -Dincludes=org.postgresql
Analyze the terminal output to locate any version of pgjdbc in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 42.7.11), your application is affected.
Note: The mvn dependency:tree -Dincludes=org.postgresql command inspects the resolved dependency graph declared in your project's POM files; it does not perform automated security scanning or inspect runtime dynamic classpaths. Always verify runtime container classpaths and shaded JARs.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-770: Allocation of Resources Without Limits or Throttling, where the product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. In pgjdbc, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-42198 Affected pgjdbc Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
org.postgresql:postgresql
|
Maven |
≥ 42.2.0
< 42.7.11
|
42.7.11
|
References
Frequently Asked Questions
What is CVE-2026-42198?
Which pgjdbc versions are affected?
What version fixes CVE-2026-42198?
Is postgresql affected?
What is the CVSS score of CVE-2026-42198?
What CWE is associated with CVE-2026-42198?
How can I check Maven dependencies for CVE-2026-42198?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-98qh-xjc8-98pq",
"modified" : "2026-05-05T20:09:36Z",
"published" : "2026-05-05T20:09:36Z",
"aliases" : [ "CVE-2026-42198" ],
"summary" : "pgjdbc: Unbounded PBKDF2 iterations in SCRAM authentication allows CPU exhaustion DoS",
"details" : "## Summary\npgjdbc is vulnerable to a client-side denial of service during SCRAM-SHA-256 authentication.\n\n### Impact\nA malicious server can instruct the driver to perform SCRAM authentication with a very large iteration count.\nWith a large enough value, the client spends an unbounded amount of CPU time inside PBKDF2 before authentication can fail.\nA single attempt ties up a CPU core. Repeated or concurrent attempts exhaust client CPU and can wedge connection pools.\n\nIn affected versions, `loginTimeout` did not fully mitigate this problem. When `loginTimeout` expired, the caller could stop waiting, but the worker thread performing the connection attempt could continue running and burning CPU inside the SCRAM PBKDF2 computation.\n\nThis issue affects availability. It does **not** provide authentication bypass, privilege escalation, or direct password disclosure.\n\nA user is vulnerable when **all** of the following are true:\n\n1. The connection uses **SCRAM-SHA-256** authentication.\n2. The client reaches a **malicious, compromised, or attacker-controlled PostgreSQL endpoint**.\n3. That endpoint sends a very large SCRAM PBKDF2 iteration count in the `server-first-message`.\n\nIn practice, that can happen in these situations:\n\n- the application lets end users or tenants supply their own database connection details (as in many BI, reporting, analytics, ETL, and low-code platforms), so a user can point the shared client host at a server they control\n- the application accepts connection strings, hostnames, or JDBC URLs from user input, configuration uploaded by users, or other untrusted sources\n- the application is configured to connect to a PostgreSQL server that is itself malicious or later becomes compromised\n- the application connects through an untrusted proxy, relay, tunnel, bastion, or connection-pooling service that can act as the PostgreSQL server\n- an attacker can redirect the client to a fake PostgreSQL endpoint by manipulating DNS, service discovery, Kubernetes service resolution, `/etc/hosts`, environment variables, or similar indirection\n- an active network attacker on the path can impersonate the server because the connection does not strongly verify server identity (for example, `sslmode` lower than `verify-full`, or trusting a CA that signs hosts outside the operator's control)\n\nThe issue is **more damaging** when the application uses connection retries, many parallel connection attempts, or `loginTimeout` and assumes the timeout fully stops the work.\n\n### Patches\nThe patch introduces a new connection property, `scramMaxIterations`, with a default of 100K. The client now rejects SCRAM server messages that advertise more PBKDF2 iterations than the configured cap before starting the PBKDF2 computation begins.\n\n### Workarounds\n\nUntil a patched version of pgjdbc is deployed, the following measures reduce exposure:\n\n1. **Only connect to trusted PostgreSQL servers whose identity is verified.** \n Connect only to trusted PostgreSQL servers, and verify server identity with TLS using sslmode=verify-full and a trusted CA.\n TLS without certificate and hostname verification is not sufficient as an active network attacker can still impersonate the server.\n\n2. **Do not rely on `loginTimeout` as a complete mitigation on unpatched versions.** \n On affected versions, `loginTimeout` can stop the waiting caller while the worker thread continues spending CPU.\n\n3. **Avoid SCRAM on untrusted or interceptable connection paths.** \n For those paths, use an authentication method that does not let the server choose a SCRAM PBKDF2 iteration count.\n\n4. **Reduce blast radius operationally.** \n Limit parallel connection attempts, add retry backoff, isolate connection establishment in a separate worker or process when possible, and apply CPU or container limits where appropriate.\n\n5. **On trusted servers you control, keep SCRAM iteration counts at ordinary values.** \n This does not defend against an attacker-controlled server, but it avoids unnecessary client cost when talking to legitimate servers.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "Maven",
"name" : "org.postgresql:postgresql"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "42.2.0"
}, {
"fixed" : "42.7.11"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/pgjdbc/pgjdbc/security/advisories/GHSA-98qh-xjc8-98pq"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-42198"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/pgjdbc/pgjdbc"
}, {
"type" : "WEB",
"url" : "https://github.com/pgjdbc/pgjdbc/releases/tag/REL42.7.11"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-770" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-05-05T20:09:36Z",
"nvd_published_at" : "2026-04-29T16:16:25Z"
}
}