CyberSecBulletin
CVE-2026-64678NVD status: Deferred

nitrite-java: Deserialization of Untrusted Data

CVE-2026-64678 is a critical-severity deserialization of untrusted data vulnerability in nitrite-java from Nitrite, with a CVSS 3.1 base score of 9.8 out of 10. It can be exploited remotely over the network by an unauthenticated attacker, without any action from a user. Affected nitrite-java versions: < 4.4.1. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.66% chance of exploitation within 30 days, higher than 52% of scored CVEs.

Patch this week

Critical severity: a successful attack would have severe impact.

What to do

  1. Check which version of nitrite-java you run against the affected versions below, and install the vendor's latest release.
  2. Read the advisory on github.com for workarounds and exact fixed builds.
  3. Until you can update, restrict network access to the affected service so it is not reachable from untrusted networks.

Affected products and versions

VendorProductAffected versionsFixed in
Nitritenitrite-java< 4.4.1Not stated

Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.

How the severity score breaks down

Attack vector
NetworkCan be exploited remotely over a network, including the internet.
Attack complexity
LowNo special conditions are needed; the attack works reliably.
Privileges required
NoneNo account or login is needed.
User interaction
NoneNo action by a victim is required.
Scope
UnchangedImpact stays within the vulnerable component.
Confidentiality
HighAll data handled by the component can be read.
Integrity
HighData or code can be modified at will.
Availability
HighThe component can be taken down completely.

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. Scored by CNA (github.com).

Official description

NOsql Object (NO2 a.k.a Nitrite) database is an open source nosql embedded document store. Prior to version 4.4.1, when Nitrite opens a database file, MVStoreUtils.openOrCreate() automatically checks for a legacy v1-format store and, on detecting one (or hitting a compatibility error while opening), triggers an automatic migration path. This path deserializes stored values using NitriteDataType.deserialize(byte[]), which passes the raw bytes directly to java.io.ObjectInputStream.readObject() via a custom NitriteObjectInputStream subclass. That subclass overrides only readClassDescriptor() — solely to remap a handful of known legacy class names to their current equivalents — and implements no class allowlist, blocklist, or ObjectInputFilter (JEP 290). Any Serializable class reachable on the embedding application's classpath can therefore be instantiated via readObject(), with readObject()/readExternal()/readResolve() callbacks invoked unconditionally. If a suitable gadget class (e.g. from commons-collections or similar) happens to be present on the classpath, this is a precondition for remote code execution. This issue has been patched in version 4.4.1.

Source: the CVE record as published by its numbering authority, via NVD and CVE.org.

The underlying weakness: Deserialization of Untrusted Data

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

How developers prevent this class of flaw

  • If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
  • When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
  • Explicitly define a final object() to prevent deserialization.

More Deserialization of Untrusted Data vulnerabilities (CWE-502)

Timeline

  1. CVE record published.
  2. CISA published its SSVC assessment (exploitation: poc, automatable: yes, technical impact: total).
  3. Record last changed materially (score, affected products, status or references).

References

Recent Deserialization of Untrusted Data vulnerabilities

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