CVE-2026-13510 (GCVE-0-2026-13510)
Vulnerability from cvelistv5 – Published: 2026-06-28 22:15 – Updated: 2026-06-29 13:43
VLAI
EPSS
VEX
Title
SimStudioAI sim Password Protection deployment.ts weak hash
Summary
A vulnerability was found in SimStudioAI sim up to 0.6.92. Affected by this vulnerability is an unknown functionality in the library apps/sim/lib/core/security/deployment.ts of the component Password Protection Handler. Performing a manipulation results in use of weak hash. The attack is possible to be carried out remotely. The attack's complexity is rated as high. The exploitation appears to be difficult. The exploit has been made public and could be used. The pull request to fix this issue awaits acceptance.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-29 13:43 UTC
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/374518 | vdb-entry |
| https://vuldb.com/vuln/374518/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-13510 | third-party-advisory |
| https://vuldb.com/submit/838842 | third-party-advisory |
| https://github.com/simstudioai/sim/issues/4759 | exploitissue-tracking |
| https://github.com/simstudioai/sim/pull/4760 | issue-trackingpatch |
| https://github.com/simstudioai/sim/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| SimStudioAI | sim |
Affected:
0.6.0
Affected: 0.6.1 Affected: 0.6.2 Affected: 0.6.3 Affected: 0.6.4 Affected: 0.6.5 Affected: 0.6.6 Affected: 0.6.7 Affected: 0.6.8 Affected: 0.6.9 Affected: 0.6.10 Affected: 0.6.11 Affected: 0.6.12 Affected: 0.6.13 Affected: 0.6.14 Affected: 0.6.15 Affected: 0.6.16 Affected: 0.6.17 Affected: 0.6.18 Affected: 0.6.19 Affected: 0.6.20 Affected: 0.6.21 Affected: 0.6.22 Affected: 0.6.23 Affected: 0.6.24 Affected: 0.6.25 Affected: 0.6.26 Affected: 0.6.27 Affected: 0.6.28 Affected: 0.6.29 Affected: 0.6.30 Affected: 0.6.31 Affected: 0.6.32 Affected: 0.6.33 Affected: 0.6.34 Affected: 0.6.35 Affected: 0.6.36 Affected: 0.6.37 Affected: 0.6.38 Affected: 0.6.39 Affected: 0.6.40 Affected: 0.6.41 Affected: 0.6.42 Affected: 0.6.43 Affected: 0.6.44 Affected: 0.6.45 Affected: 0.6.46 Affected: 0.6.47 Affected: 0.6.48 Affected: 0.6.49 Affected: 0.6.50 Affected: 0.6.51 Affected: 0.6.52 Affected: 0.6.53 Affected: 0.6.54 Affected: 0.6.55 Affected: 0.6.56 Affected: 0.6.57 Affected: 0.6.58 Affected: 0.6.59 Affected: 0.6.60 Affected: 0.6.61 Affected: 0.6.62 Affected: 0.6.63 Affected: 0.6.64 Affected: 0.6.65 Affected: 0.6.66 Affected: 0.6.67 Affected: 0.6.68 Affected: 0.6.69 Affected: 0.6.70 Affected: 0.6.71 Affected: 0.6.72 Affected: 0.6.73 Affected: 0.6.74 Affected: 0.6.75 Affected: 0.6.76 Affected: 0.6.77 Affected: 0.6.78 Affected: 0.6.79 Affected: 0.6.80 Affected: 0.6.81 Affected: 0.6.82 Affected: 0.6.83 Affected: 0.6.84 Affected: 0.6.85 Affected: 0.6.86 Affected: 0.6.87 Affected: 0.6.88 Affected: 0.6.89 Affected: 0.6.90 Affected: 0.6.91 Affected: 0.6.92 cpe:2.3:a:sim:sim:*:*:*:*:*:*:*:* |
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}
},
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}
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],
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{
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},
{
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{
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"version": "0.6.51"
},
{
"status": "affected",
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},
{
"status": "affected",
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},
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},
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"status": "affected",
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},
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{
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],
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}
],
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}
},
{
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"description": "Risky Cryptographic Algorithm",
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},
{
"name": "Submit #838842 | Sim Studio / simstudioai sim Affected at least commit 7b572f1f61a8bbcee31fd7389097814a71f8f094; still present in origin/main commit e532e0a6da6fd22eee98310ba Improper Verification of Cryptographic Signature (CWE-347), Use",
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{
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"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2026-06-28T08:32:04.000Z",
"value": "VulDB entry last update"
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],
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}
},
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"datePublished": "2026-06-28T22:15:11.256Z",
"dateReserved": "2026-06-28T06:27:00.657Z",
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"state": "PUBLISHED"
},
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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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