CVE-2026-78654 (GCVE-0-2026-78654)
Vulnerability from cvelistv5 – Published: 2026-08-25 06:00 – Updated: 2026-08-25 13:17 X_Open Source
VLAI
EPSS
VEX
Title
cleverbrush framework/deep deepExtend.ts deepExtend prototype pollution
Summary
A vulnerability has been found in cleverbrush framework and deep up to 4.4.0. This impacts the function deepExtend of the file libs/deep/src/deepExtend.ts. The manipulation leads to improperly controlled modification of object prototype attributes. Remote exploitation of the attack is possible. The exploit has been disclosed to the public and may be used. Upgrading to version 4.4.1 will fix this issue. The identifier of the patch is 810398c1308c500c3b8b6af380b5a89371389327. You should upgrade the affected component.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-25 13:17 UTC
CWE
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/394866 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/394866/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-78654 | third-party-advisory |
| https://vuldb.com/submit/886401 | third-party-advisory |
| https://github.com/cleverbrush/framework/issues/213 | exploitissue-tracking |
| https://github.com/cleverbrush/framework/pull/215 | issue-trackingpatch |
| https://github.com/cleverbrush/framework/commit/8… | patch |
| https://github.com/cleverbrush/framework/releases… | patch |
| https://github.com/cleverbrush/framework/ | product |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| cleverbrush | framework |
Affected:
4.0
Affected: 4.1 Affected: 4.2 Affected: 4.3 Affected: 4.4.0 Unaffected: 4.4.1 cpe:2.3:a:cleverbrush:framework:*:*:*:*:*:*:*:* |
||
| cleverbrush | deep |
Affected:
4.0
Affected: 4.1 Affected: 4.2 Affected: 4.3 Affected: 4.4.0 Unaffected: 4.4.1 cpe:2.3:a:cleverbrush:deep:*:*:*:*:*:*:*:* |
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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.
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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