CVE-2026-42198 — postgresql
HIGHCVE-2026-42198 is a high-severity (CVSS 7.5) CWE-770 vulnerability in org.postgresql:postgresql. A fix is available for org.postgresql:postgresql — see the affected versions and patch details below.
pgjdbc: Unbounded PBKDF2 iterations in SCRAM authentication allows CPU exhaustion DoS
Exploitation Status
No confirmed exploitation observed yet
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
- CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-42198.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
CVE-2026-42198 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 377,636 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
org.postgresql:postgresqlReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Maven packages — download data is not available via public APIs for these ecosystems.
Description
Summary
pgjdbc is vulnerable to a client-side denial of service during SCRAM-SHA-256 authentication.
Impact
A malicious server can instruct the driver to perform SCRAM authentication with a very large iteration count. With a large enough value, the client spends an unbounded amount of CPU time inside PBKDF2 before authentication can fail. A single attempt ties up a CPU core. Repeated or concurrent attempts exhaust client CPU and can wedge connection pools.
In 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.
This issue affects availability. It does not provide authentication bypass, privilege escalation, or direct password disclosure.
A user is vulnerable when all of the following are true:
- The connection uses SCRAM-SHA-256 authentication.
- The client reaches a malicious, compromised, or attacker-controlled PostgreSQL endpoint.
- That endpoint sends a very large SCRAM PBKDF2 iteration count in the
server-first-message.
In practice, that can happen in these situations:
- 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
- the application accepts connection strings, hostnames, or JDBC URLs from user input, configuration uploaded by users, or other untrusted sources
- the application is configured to connect to a PostgreSQL server that is itself malicious or later becomes compromised
- the application connects through an untrusted proxy, relay, tunnel, bastion, or connection-pooling service that can act as the PostgreSQL server
- 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 - an active network attacker on the path can impersonate the server because the connection does not strongly verify server identity (for example,
sslmodelower thanverify-full, or trusting a CA that signs hosts outside the operator's control)
The issue is more damaging when the application uses connection retries, many parallel connection attempts, or loginTimeout and assumes the timeout fully stops the work.
Patches
The 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.
Workarounds
Until a patched version of pgjdbc is deployed, the following measures reduce exposure:
-
Only connect to trusted PostgreSQL servers whose identity is verified.
Connect only to trusted PostgreSQL servers, and verify server identity with TLS using sslmode=verify-full and a trusted CA. TLS without certificate and hostname verification is not sufficient as an active network attacker can still impersonate the server. -
Do not rely on
loginTimeoutas a complete mitigation on unpatched versions.
On affected versions,loginTimeoutcan stop the waiting caller while the worker thread continues spending CPU. -
Avoid SCRAM on untrusted or interceptable connection paths.
For those paths, use an authentication method that does not let the server choose a SCRAM PBKDF2 iteration count. -
Reduce blast radius operationally.
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. -
On trusted servers you control, keep SCRAM iteration counts at ordinary values.
This does not defend against an attacker-controlled server, but it avoids unnecessary client cost when talking to legitimate servers.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| ☕Maven | org.postgresql:postgresql | ≥ 42.2.0&&< 42.7.11 | 42.7.11org.postgresql:postgresql:42.7.11 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for org.postgresql:postgresql, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update org.postgresql:postgresql to 42.7.11 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-42198 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2026-42198 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2026-42198. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2026-42198 in your dependencies?
O3 Security finds CVE-2026-42198 across Maven dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.