isaacwasserman mcp-vegalite-server up to 16aefed598b8cd897b78e99b907f6e2984572c61 visualize_data eval vegalite_specification code injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.0$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in isaacwasserman mcp-vegalite-server up to 16aefed598b8cd897b78e99b907f6e2984572c61. Affected by this issue is the function eval of the component visualize_data. Performing a manipulation of the argument vegalite_specification results in code injection. This vulnerability is cataloged as CVE-2026-1977. It is possible to initiate the attack remotely. Furthermore, there is an exploit available. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The project was informed of the problem early through an issue report but has not responded yet.

Detailsinfo

A vulnerability was found in isaacwasserman mcp-vegalite-server up to 16aefed598b8cd897b78e99b907f6e2984572c61. It has been classified as critical. This affects the function eval of the component visualize_data. The manipulation of the argument vegalite_specification with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-1977. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details and a public exploit are known. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.

The exploit is shared for download at github.com. It is declared as proof-of-concept. The project was informed of the problem early through an issue report but has not responded yet.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-5601). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.0

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.3
CNA Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Code injection
CWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

02/05/2026 Advisory disclosed
02/05/2026 +0 days VulDB entry created
02/07/2026 +2 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Not defined

CVE: CVE-2026-1977 (🔒)
GCVE (CVE): GCVE-0-2026-1977
GCVE (VulDB): GCVE-100-344499
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 02/05/2026 14:41
Updated: 02/07/2026 14:37
Changes: 02/05/2026 14:41 (58), 02/06/2026 06:34 (30), 02/07/2026 14:37 (1)
Complete: 🔍
Submitter: Lexpl0it
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #743246: GitHub mcp-vegalite-server master Code Injection (by Lexpl0it)

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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