CVE-2026-12958 (GCVE-0-2026-12958)
Vulnerability from cvelistv5 – Published: 2026-06-23 16:03 – Updated: 2026-06-23 17:56
VLAI
EPSS
VEX
Title
Arbitrary file write in Language Servers for AWS
Summary
Missing symlink validation in Language Servers for AWS may allow an arbitrary file write outside of the workspace trust boundary. This may occur when a local user opens a workspace with a maliciously crafted symlink that resolves to a file path outside the workspace trust boundary.
To remediate this issue, users should upgrade to version 1.69.0 or higher.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-23 17:56 UTC
CWE
- CWE-61 - UNIX symbolic link (symlink) following
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://aws.amazon.com/security/security-bulletin… | vendor-advisory |
| https://github.com/aws/language-servers/security/… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Amazon Web Services | Language Servers for AWS |
Affected:
0 , < 1.69.0
(semver)
|
guessed |
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Sightings
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|---|
Nomenclature
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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.
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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.