CVE-2026-77415 (GCVE-0-2026-77415)
Vulnerability from cvelistv5 – Published: 2026-08-21 21:01 – Updated: 2026-08-25 16:55
VLAI
EPSS
VEX
Title
JSONata: Arbitrary Code Execution via crafted JSONata expressions
Summary
JSONata is a JSON query and transformation language. Prior to 1.8.8 and 2.2.1, crafted JSONata expressions could chain several object-integrity weaknesses to execute arbitrary code. The chain could overwrite $clone to mutate objects through evaluateTransformExpression, expose and deconstruct JSONata functions or lambdas through $merge.*, replace proc.arguments.forEach used by applyProcedure, and forge internal lambda state. These primitives allowed an attacker to reach prototype getters, prototype and constructor access, and process.getBuiltinModule with child_process, executing code with the privileges of the host process. This issue is fixed in versions 1.8.8 and 2.2.1.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-25 16:53 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
11 references
| URL | Tags |
|---|---|
| https://github.com/jsonata-js/jsonata/security/ad… | x_refsource_CONFIRM |
| https://github.com/jsonata-js/jsonata/pull/799 | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/pull/800 | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/pull/802 | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/commit/47c0… | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/commit/4b21… | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/commit/59e2… | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/commit/f09d… | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/commit/f174… | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/releases/ta… | x_refsource_MISC |
| https://github.com/jsonata-js/jsonata/releases/ta… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| jsonata-js | jsonata |
Affected:
< 1.8.8
Affected: >= 2.0.0, < 2.2.1 |
guessed |
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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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