CVE-2026-107353 (GCVE-0-2026-107353)
Vulnerability from cvelistv5 – Published: 2026-10-07 19:35 – Updated: 2026-10-07 20:37
VLAI
EPSS
VEX
Title
traverse: set() can write to built-in prototypes via an untrusted path
Summary
traverse (npm) versions 0.3.6 through 0.3.9, 0.4.0 through 0.4.6, 0.5.0 through 0.5.2, and 0.6.0 through 0.6.11 allow prototype pollution through set(). When the path passed to set() crosses a primitive value, the next path segment is resolved on that primitive's built-in prototype, so an application that passes an untrusted path to set() lets an attacker add or overwrite properties of String.prototype, Number.prototype, or Boolean.prototype using plain JSON data, for example traverse({ name: 'bob' }).set(['name', '__proto__', 'polluted'], 'yes'). Object.prototype was reachable only with a non-data path segment, such as an object whose toString returns a different value on each call, or through a Proxy that accepts an assignment without storing it. This is fixed in 0.3.10, 0.4.7, 0.5.3, and 0.6.12.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-07 20:36 UTC
CWE
- CWE-1321 - Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/ljharb/js-traverse/security/ad… | vendor-advisory |
| https://github.com/ljharb/js-traverse/commit/81cc… | patch |
| https://github.com/ljharb/js-traverse/commit/37a9… | patch |
Impacted products
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"type": "text/html",
"value": "\u003cp\u003eDo not pass untrusted paths to set(). If that is not possible, require every path segment to be a string other than __proto__, constructor, or prototype, and confirm that each intermediate value along the path is an object before calling set().\u003c/p\u003e"
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"value": "Do not pass untrusted paths to set(). If that is not possible, require every path segment to be a string other than __proto__, constructor, or prototype, and confirm that each intermediate value along the path is an object before calling set()."
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"cveMetadata": {
"assignerOrgId": "7ffcee3d-2c14-4c3e-b844-86c6a321a158",
"assignerShortName": "harborist",
"cveId": "CVE-2026-107353",
"datePublished": "2026-10-07T19:35:15.351Z",
"dateReserved": "2026-10-07T19:20:21.848Z",
"dateUpdated": "2026-10-07T20:37:09.233Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
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}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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