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GHSA-3wrr-7qpf-2prh CVE-2026-50193

jackson-databind: Deeply nested JsonNode throws StackOverflowError for toString()

High Maven
Severity
0.0 / 10
High · CVSS 4.0
Exploit chance (EPSS)
0.62%
Chance of exploitation in the next 30 days. Higher than 49.54% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-400 Uncontrolled Resource Consumption
Fix
2.14.0
Upgrade com.fasterxml.jackson.core:jackson-databind to this version or later

Description

Impact

Potential Denial-of-Service when attacker sends deeply nested JSON if (and only if) service:

  1. Reads deeply nested (1000s of levels) JSON as JsonNode (ObjectMapper.readTree())
  2. Writes out same (or modifided) node using JsonNode.toString()

which can consume significant amount of resources with concurrent relatively small requests (1000 nested arrays is 2kB).

Patches

Fixed in 2.14.0 via https://github.com/FasterXML/jackson-databind/issues/3447.

Workarounds

Avoid serializing JsonNode using toString(): use ObjectMapper.writeValueAsString(node)

Affected versions

Maven

PackageVulnerableFixed in
com.fasterxml.jackson.core:jackson-databind
>= 2.10.0, < 2.14.0
2.14.0

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 → 2.14.0

maven
<dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>2.14.0</version></dependency>
gradle
implementation("com.fasterxml.jackson.core:jackson-databind:2.14.0")

Severity breakdown

CVSS 4.0 0.0

CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Attack vector
Network
Attack complexity
Low
Attack requirements
Present
Privileges required
None
User interaction
None
Confidentiality (vulnerable system)
None
Integrity (vulnerable system)
None
Availability (vulnerable system)
Low
Confidentiality (subsequent systems)
None
Integrity (subsequent systems)
None
Availability (subsequent systems)
None

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
High Also affects com.fasterxml.jackson.core:jackson-databind
GHSA-wv8q-qhhj-9h54
jackson-databind retains every unknown raw type ID
High Also affects com.fasterxml.jackson.core:jackson-databind
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)
Medium Also affects com.fasterxml.jackson.core:jackson-databind
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
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