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jackson-databind retains every unknown raw type ID

High severity GitHub Reviewed Published Sep 22, 2026 in FasterXML/jackson-databind • Updated Sep 30, 2026

Package

maven com.fasterxml.jackson.core:jackson-databind (Maven)

Affected versions

>= 2.0.0, <= 2.18.10
>= 2.19.0, <= 2.21.6
>= 2.22.0, <= 2.22.2

Patched versions

2.18.11
2.21.7
2.22.3
maven tools.jackson.core:jackson-databind (Maven)
>= 3.0.0, <= 3.1.6
>= 3.2.0, <= 3.2.2
3.1.7
3.2.3

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

References

@cowtowncoder cowtowncoder published to FasterXML/jackson-databind Sep 22, 2026
Published by the National Vulnerability Database Sep 23, 2026
Published to the GitHub Advisory Database Sep 30, 2026
Reviewed Sep 30, 2026
Last updated Sep 30, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

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

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(42nd percentile)

Weaknesses

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource. Learn more on MITRE.

CVE ID

CVE-2026-91776

GHSA ID

GHSA-wv8q-qhhj-9h54

Credits

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