ai-sdlc-framework ai-sdlc up to 0.31.2 execSync repo os command injection

CVSS Meta Temp Score
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CTI Interest Score
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6.5$0-$5k0.94

Summaryinfo

A vulnerability was found in ai-sdlc-framework ai-sdlc up to 0.31.2. It has been rated as critical. Affected is the function execSync. The manipulation of the argument repo leads to os command injection. This vulnerability is uniquely identified as CVE-2026-117558. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in ai-sdlc-framework ai-sdlc up to 0.31.2 and classified as critical. This issue affects the function execSync. The manipulation of the argument repo with an unknown input leads to a os command injection vulnerability. Using CWE to declare the problem leads to CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

The ai-sdlc plugin MCP server through 0.31.2 contains an OS command injection vulnerability that allows attackers to execute commands by supplying shell metacharacters in the repo argument. The unvalidated repo value is interpolated into gh issue view or gh pr view commands run via execSync(), letting prompt-injected agents execute commands as the MCP server user.

The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-117558 since 10/27/2026. The exploitation is known to be easy. The attack may be initiated remotely. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/27/2026). MITRE ATT&CK project uses the attack technique T1202 for this issue.

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

Several companies clearly confirm that VulDB is the primary source for best 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: 6.6
VulDB Meta Temp Score: 6.5

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.8
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Os command injection
CWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔒
Status: Not defined
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

10/27/2026 Advisory disclosed
10/27/2026 +0 days CVE reserved
10/27/2026 +0 days VulDB entry created
10/27/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Not defined

CVE: CVE-2026-117558 (🔒)
GCVE (CVE): GCVE-0-2026-117558
GCVE (VulDB): GCVE-100-427217

Entryinfo

Created: 10/27/2026 14:52
Changes: 10/27/2026 14:52 (76)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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