Description
Semantic Kernel is an SDK used to build, orchestrate, and deploy AI agents and multi-agent systems. Prior to 1.70.0, an Arbitrary File Write vulnerability has been identified in Microsoft's Semantic Kernel .NET SDK, specifically within the SessionsPythonPlugin. The problem has been fixed in Microsoft.SemanticKernel.Core version 1.70.0. As a mitigation, users can create a Function Invocation Filter which checks the arguments being passed to any calls to DownloadFileAsync or UploadFileAsync and ensures the provided localFilePath is allow listed.
EPSS Score:
0%
EUVD-2026-5582: Comprehensive Technical Analysis
Arbitrary File Write Vulnerability in Microsoft Semantic Kernel .NET SDK
1. VULNERABILITY ASSESSMENT AND SEVERITY EVALUATION
Severity Classification
CVSS 3.1 Base Score: 10.0 (CRITICAL)
This represents the maximum severity rating, indicating an extremely dangerous vulnerability requiring immediate attention.
CVSS Vector Analysis
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
- Attack Vector (AV:N): Network-exploitable, allowing remote attacks without physical access
- Attack Complexity (AC:L): Low complexity; exploitation requires minimal specialized conditions
- Privileges Required (PR:L): Low-level authentication required, suggesting authenticated users can exploit
- User Interaction (UI:N): No user interaction needed for exploitation
- Scope (S:C): Changed scope indicates the vulnerability affects resources beyond its security scope
- Confidentiality Impact (C:H): High impact; complete information disclosure possible
- Integrity Impact (I:H): High impact; complete system file modification possible
- Availability Impact (A:H): High impact; complete denial of service possible
Risk Assessment
The combination of network accessibility, low attack complexity, and high impact across all CIA triad components makes this vulnerability exceptionally dangerous. The changed scope metric is particularly concerning, suggesting potential for lateral movement or container escape scenarios in AI agent deployments.
2. POTENTIAL ATTACK VECTORS AND EXPLOITATION METHODS
Primary Attack Vector: Path Traversal via SessionsPythonPlugin
Vulnerability Mechanism:
The SessionsPythonPlugin's DownloadFileAsync and UploadFileAsync functions lack proper input validation on the localFilePath parameter, enabling path traversal attacks.
Exploitation Scenarios
Scenario 1: Arbitrary File Overwrite
Attack Flow:
1. Attacker authenticates with low-privilege credentials
2. Invokes DownloadFileAsync/UploadFileAsync with malicious path
3. Uses path traversal sequences (../../) to escape intended directory
4. Overwrites critical system files or application configurations
Example Malicious Payload:
localFilePath: "../../../etc/passwd"
localFilePath: "..\\..\\..\\Windows\\System32\\config\\SAM"
localFilePath: "../../../app/config/authentication.json"
Scenario 2: Code Execution via Configuration Tampering
Attack Chain:
1. Overwrite application configuration files
2. Inject malicious Python code into session files
3. Modify startup scripts or plugin definitions
4. Achieve remote code execution on next application restart
Scenario 3: Data Exfiltration
Attack Method:
1. Use UploadFileAsync to read sensitive files
2. Traverse to system directories containing credentials
3. Extract database connection strings, API keys, certificates
4. Exfiltrate data through the plugin's file handling mechanism
Scenario 4: Multi-Agent System Compromise
Given Semantic Kernel's role in orchestrating AI agents:
1. Compromise one agent through file write vulnerability
2. Modify agent communication protocols or shared resources
3. Propagate malicious behavior across agent network
4. Establish persistent backdoor in AI orchestration layer
Technical Exploitation Considerations
- Cross-platform exploitation: Affects both Windows and Linux deployments
- Container escape potential: In containerized AI deployments, could write to mounted volumes
- Supply chain implications: Compromised AI agents could poison training data or model outputs
3. AFFECTED SYSTEMS AND SOFTWARE VERSIONS
Vulnerable Software
Product: Microsoft Semantic Kernel .NET SDK
Vendor: Microsoft
Affected Versions: All versions < 1.70.0
Fixed Version: 1.70.0 and later
Affected Component
Specific Module: SessionsPythonPlugin
Vulnerable Functions:
DownloadFileAsyncUploadFileAsync
Deployment Contexts at Risk
Enterprise AI Systems
- AI agent orchestration platforms
- Multi-agent business automation systems
- Cognitive services integrations
- LLM-powered enterprise applications
Development Environments
- AI/ML development pipelines
- Automated code generation systems
- AI-assisted development tools
- Research and experimentation platforms
Cloud and Containerized Deployments
- Azure-hosted AI services
- Kubernetes-orchestrated AI workloads
- Docker containerized AI agents
- Serverless AI function implementations
European Infrastructure Considerations
Organizations in EU member states utilizing:
- AI-powered customer service platforms
- Automated decision-making systems (GDPR Article 22 implications)
- Healthcare AI diagnostics (MDR compliance concerns)
- Financial services AI (PSD2/MiFID II regulated systems)
- Critical infrastructure AI monitoring
4. RECOMMENDED MITIGATION STRATEGIES
Immediate Actions (Priority 1 - Within 24-48 Hours)
A. Patch Deployment
Action: Upgrade to Microsoft.SemanticKernel.Core version 1.70.0 or later
Command: Update-Package Microsoft.SemanticKernel.Core -Version 1.70.0
NuGet: dotnet add package Microsoft.SemanticKernel.Core --version 1.70.0
Verification:
// Check installed version
var assembly = typeof(Kernel).Assembly;
var version = assembly.GetName().Version;
Console.WriteLine($"Semantic Kernel Version: {version}");
// Ensure version >= 1.70.0
B. Implement Function Invocation Filter (Temporary Mitigation)
For organizations unable to immediately patch:
public class FilePathValidationFilter : IFunctionInvocationFilter
{
private readonly HashSet<string> _allowedPaths = new()
{
"/app/data/sessions",
"/app/data/uploads",
// Add your allowed paths
};
public async Task OnFunctionInvocationAsync(
FunctionInvocationContext context,
Func<FunctionInvocationContext, Task> next)
{
if (context.Function.Name == "DownloadFileAsync" ||
context.Function.Name == "UploadFileAsync")
{
var localFilePath = context.Arguments["localFilePath"]?.ToString();
if (!IsPathAllowed(localFilePath))
{
throw new SecurityException(
$"File path not allowed: {localFilePath}");
}
}
await next(context);
}
private bool IsPathAllowed(string path)
{
if (string.IsNullOrEmpty(path)) return false;
// Normalize path
var normalizedPath = Path.GetFullPath(path);
// Check for path traversal attempts
if (normalizedPath.Contains("..")) return false;
// Verify against allowlist
return _allowedPaths.Any(allowed =>
normalizedPath.StartsWith(
Path.GetFullPath(allowed),
StringComparison.OrdinalIgnoreCase));
}
}
// Register filter
kernelBuilder.Services.AddSingleton<IFunctionInvocationFilter,
FilePathValidationFilter>();
Short-term Actions (Priority 2 - Within 1 Week)
C. Security Audit
-
Review all SessionsPythonPlugin implementations
- Identify all instances of DownloadFileAsync/UploadFileAsync calls
- Document current file path handling practices
- Assess potential exposure in production environments
-
Log Analysis
Search for indicators of exploitation: - Unusual file access patterns - Path traversal sequences in logs (../, ..\) - Unexpected file modifications in system directories - Failed authentication followed by file operations -
Access Control Review
- Audit user permissions for AI agent systems
- Implement principle of least privilege
- Review authentication mechanisms for plugin access
D. Network Segmentation
- Isolate AI agent systems from