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CVE Record

CVE-2026-23956: seroval affected by Denial of Service via RegExp serialization

seroval facilitates JS value stringification, including complex structures beyond JSON.stringify capabilities. In versions 0.2.0 through 1.4.0, overriding RegExp serialization with extremely large patterns can exhaust JavaScript runtime memory during deserialization. Additionally, overriding RegExp serialization with patterns that trigger catastrophic backtracking can lead to ReDoS (Regular Expression Denial of Service). This issue has been fixed in version 1.4.1.

HighCVSS 7.5Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

CVE-2026-23956 affects the JavaScript package seroval. If an application deserializes attacker-influenced serialized RegExp data, crafted patterns can consume excessive memory or CPU, causing denial of service. The issue affects versions 0.2.0 through 1.4.0 and is fixed in 1.4.1.

Executive priority

Prioritize remediation for internet-facing or multi-tenant services that deserialize untrusted seroval data. The business risk is outage or degraded availability. If seroval is only used with trusted internal data, urgency is lower but upgrade remains recommended.

Technical view

seroval supports serialization of complex JavaScript values. In affected versions, overridden RegExp serialization can deserialize extremely large patterns that exhaust runtime memory, or patterns that cause catastrophic backtracking, resulting in ReDoS. CVSS 3.1 is 7.5, network exploitable, low complexity, no privileges or user interaction, availability impact only.

Likely exposure

Exposure is most likely in Node.js or JavaScript applications using seroval versions >=0.2.0 and <1.4.1 where serialized input can be influenced by untrusted users, clients, tenants, or external services.

Exploitation context

The provided sources do not report active exploitation, and the CVE is not marked KEV. Practical risk depends on whether applications deserialize attacker-controlled seroval data containing RegExp values. Impact is service disruption, not documented data theft or code execution.

Researcher notes

The advisory identifies CWE-1333 and two denial-of-service modes: memory exhaustion from very large RegExp patterns and ReDoS from catastrophic backtracking. The public bundle names the fixed version and commit but does not provide evidence of exploitation in the wild.

Mitigation direction

  • Upgrade seroval to version 1.4.1 or later.
  • Identify applications and transitive dependencies using affected seroval versions.
  • Restrict or reject untrusted serialized data until upgraded.
  • Review vendor advisory and commit for implementation-specific guidance.
  • Monitor application availability metrics after remediation.

Validation and detection

  • Check package manifests and lockfiles for seroval versions >=0.2.0 and <1.4.1.
  • Confirm deployed artifacts use seroval 1.4.1 or later.
  • Map code paths that deserialize externally supplied seroval payloads.
  • Verify dependency scanners flag CVE-2026-23956 where applicable.
  • Review logs for unexplained memory exhaustion or CPU saturation.
Prepared
Confidence
high
Sources
4

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.

ATT&CK lookup starting points

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cwe · low confidence lookup

CWE-1333: Exact CWE lookup

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cve · low confidence lookup

CVE-2026-23956 mapping review

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Vulnerability profileCVE Program record
Severity
High
CVSS
7.5 (3.1)
Known Exploited
No
Published

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

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

1CVSS vectors
3Timeline events
1ADP providers
4Source links

SSVC decision data

CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: noneAutomatable: yesTechnical Impact: partial

CVSS vector scores

1 official score

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
7.5CVSS 3.1HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H3.93.6GitHub_M

Vulnerability scoring details

Base CVSS 3.1 score

7.5High
CVSS 3.1 vector shape for CVE-2026-23956Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

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

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Vulnerability timeline

Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.

  1. CVE reservedCVE Program

    The CVE ID was reserved by the assigning CNA.

  2. CVE publishedCVE Program

    The CVE record was published.

  3. CVE updatedCVE Program

    The CVE record metadata indicates this as the latest update time.

ADP provider summaries

CISA-ADPCISA ADP Vulnrichment
other:ssvc
Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
lxsmnsycseroval>= 0.2.0, < 1.4.1Listed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-1333 · source CWE mapping

Inefficient Regular Expression Complexity

Inefficient Regular Expression Complexity represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.