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GHSA-wv8q-qhhj-9h54 CVE-2026-91776

jackson-databind retains every unknown raw type ID

High Maven
Severity
7.5 / 10
High · CVSS 3.1
Exploit chance (EPSS)
0.49%
Chance of exploitation in the next 30 days. Higher than 41.93% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-400 Uncontrolled Resource Consumption
Fix
Available
2 packages have a fixed version

Description

Summary

With @JsonTypeInfo(use = Id.NAME, defaultImpl = ...), every distinct unknown raw type ID selects the same fallback deserializer but is retained as a separate key in TypeDeserializerBase._deserializers. An attacker who can repeatedly supply new unknown type IDs can grow this process-lifetime cache without a configured bound.

Details

The affected path is TypeDeserializerBase._findDeserializer(). After an unknown name-based type ID resolves to the configured fallback/default implementation, jackson-databind caches the result under the attacker-provided raw typeId. Although all such IDs select the same fallback deserializer, each new string remains a distinct cache key.

The behavior is runtime-confirmed in jackson-databind 2.22.1 and 3.2.1. Current 2.22 and 3.2 source branches retained the unbounded _deserializers map and per-raw-ID cache write when rechecked. The earlier affected floor has not been established, patched versions are: 2.18.11, 2.21.7, 2.22.3, 3.1.7 and 3.2.3.

The vulnerable application must enable name-based polymorphism with a defaultImpl or equivalent fallback, accept attacker-influenced type IDs, and reuse a long-lived mapper/type deserializer across requests.

Suggested correction: avoid caching each unknown raw ID when every such ID resolves to the same fallback, use a fallback sentinel, or use an explicitly bounded concurrency-safe cache. A regression should contrast many distinct unknown IDs with repetitions of one unknown ID across requests.

PoC

Configure a polymorphic base type with @JsonTypeInfo(use = JsonTypeInfo.Id.NAME, defaultImpl = Fallback.class) and deserialize inputs containing unknown type names through the same mapper. Inspect TypeDeserializerBase._deserializers after the run.

On affected 2.x and 3.x versions, 10,000 distinct unknown raw type IDs produce 10,000 retained cache entries even though every input selects the same fallback deserializer. A matched control that repeats one unknown ID 10,000 times produces one retained entry. This isolates attacker-controlled key cardinality from ordinary request count.

Impact

Where the stated polymorphic fallback configuration is exposed to attacker-influenced type IDs, distinct inputs cause incremental process-lifetime memory retention and eventual availability pressure or denial of service. This is not claimed as a single-request allocation spike, and no fixed bytes-per-ID or time-to-out-of-memory value is asserted. No confidentiality, integrity, or code-execution impact is claimed.

Requested credit: Daniel Birtwhistle

Affected versions

Maven

PackageVulnerableFixed in
com.fasterxml.jackson.core:jackson-databind
>= 2.0.0, < 2.18.11
2.18.11
com.fasterxml.jackson.core:jackson-databind
>= 2.19.0, < 2.21.7
2.21.7
com.fasterxml.jackson.core:jackson-databind
>= 2.22.0, < 2.22.3
2.22.3
tools.jackson.core:jackson-databind
>= 3.0.0, < 3.1.7
3.1.7
tools.jackson.core:jackson-databind
>= 3.2.0, < 3.2.3
3.2.3

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

com.fasterxml.jackson.core:jackson-databind Maven → 2.18.11

maven
<dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>2.18.11</version></dependency>
gradle
implementation("com.fasterxml.jackson.core:jackson-databind:2.18.11")

tools.jackson.core:jackson-databind Maven → 3.1.7

maven
<dependency><groupId>tools.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>3.1.7</version></dependency>
gradle
implementation("tools.jackson.core:jackson-databind:3.1.7")

Severity breakdown

CVSS 3.1 7.5

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Weakness

CWE-400: Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

How to prevent it
  • Architecture and Design: Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
  • Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: recognizes the attack and denies that user further access for a given amount of time, or uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed. The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question. The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Implementation: Ensure that all failures in resource allocation place the system into a safe posture.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-cxp5-3px4-pw24
jackson-databind quadratic forward-reference completion
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GHSA-q4xh-88c3-wmh7
jackson-databind: Duration XMLGregorianCalendar Unbounded Number Parse DoS
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GHSA-gx83-3vf8-gh7j
jackson-databind: Comparable missing from DefaultBaseTypeLimitingValidator's unsafe base types (incomplete PolymorphicTypeValidator denylist)
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GHSA-wjgm-6hv5-3cvf
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Medium Also affects com.fasterxml.jackson.core:jackson-databind
GHSA-vvgp-rfg2-7rr6
jackson-databind: Incomplete fix for CVE-2026-54514: eager DNS resolution (SSRF) still present in InetAddress deserialization
Medium Also affects com.fasterxml.jackson.core:jackson-databind
GHSA-mhm7-754m-9p8w
jackson-databind: `@JsonView` bypass for creator properties with `@JsonTypeInfo(include=As.EXTERNAL_PROPERTY)`
Medium Also affects com.fasterxml.jackson.core:jackson-databind
GHSA-5gvw-p9qm-jgwh
jackson-databind: @JsonView bypassed for @JsonUnwrapped container properties on deserialization
Medium Also affects com.fasterxml.jackson.core:jackson-databind
GHSA-3pjw-73gf-8qr5
jackson-databind: @JsonIgnore on a Record property is bypassed with a PropertyNamingStrategy
Medium Also affects com.fasterxml.jackson.core:jackson-databind
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