Lodash up to 4.17.x _.unset/_.omit prototype pollution
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in Lodash up to 4.17.x. Impacted is the function _.unset/_.omit. The manipulation leads to prototype pollution.
This vulnerability is documented as CVE-2026-2950. The attack can be initiated remotely. There is not any exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability was found in Lodash up to 4.17.x. It has been rated as critical. This issue affects the function _.unset/_.omit. The manipulation with an unknown input leads to a prototype pollution vulnerability. Using CWE to declare the problem leads to CWE-1321. The product receives input from an upstream component that specifies attributes that are to be initialized or updated in an object, but it does not properly control modifications of attributes of the object prototype. Impacted is integrity, and availability. The summary by CVE is:
Impact: Lodash versions 4.17.23 and earlier are vulnerable to prototype pollution in the _.unset and _.omit functions. The fix for (CVE-2025-13465: https://github.com/lodash/lodash/security/advisories/GHSA-xxjr-mmjv-4gpg) only guards against string key members, so an attacker can bypass the check by passing array-wrapped path segments. This allows deletion of properties from built-in prototypes such as Object.prototype, Number.prototype, and String.prototype. The issue permits deletion of prototype properties but does not allow overwriting their original behavior. Patches: This issue is patched in 4.18.0. Workarounds: None. Upgrade to the patched version.
The weakness was released by shpik-kr, maru1009, ott3r07, zolbooo, backuardo and jdalton as GHSA-xxjr-mmjv-4gpg. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-2950 since 02/21/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
The vulnerability scanner Nessus provides a plugin with the ID 304822 (Linux Distros Unpatched Vulnerability : CVE-2026-2950), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 4.18.0 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (304822). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
Website
- Product: https://github.com/lodash/lodash/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.1VulDB Meta Temp Score: 6.0
VulDB Base Score: 6.5
VulDB Temp Score: 6.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 5.3
NVD Vector: 🔒
CNA Base Score: 6.5
CNA Vector (openjs): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Prototype pollutionCWE: CWE-1321 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Nessus ID: 304822
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-2950
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Lodash 4.18.0
Timeline
02/21/2026 CVE reserved04/01/2026 Advisory disclosed
04/01/2026 VulDB entry created
07/25/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-xxjr-mmjv-4gpg
Researcher: shpik-kr, maru1009, ott3r07, zolbooo, backuardo, jdalton
Status: Confirmed
CVE: CVE-2026-2950 (🔒)
GCVE (CVE): GCVE-0-2026-2950
GCVE (VulDB): GCVE-100-354491
Entry
Created: 04/01/2026 03:51Updated: 07/25/2026 23:32
Changes: 04/01/2026 03:51 (64), 04/04/2026 22:32 (2), 07/25/2026 23:32 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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