CVE-2026-29787

mediumPriorität · verfolgen · 21EPSS 0.004 · 36. PerzentilEUUS
grimoire priorityP3 · Track
Exploitable?
—
no known exploitation
Likely / severe?
0.43% (36th) EPSS
CVSS 5.3 · medium
Is it mine?
3 products
Prüfe deine Angriffsfläche
Who says so?
4 sources
cnnvd · enisa_euvd · osv · nvd

EPSS · bewertet 2026-10-21

mcp-memory-service is an open-source memory backend for multi-agent systems. Prior to version 10.21.0, the /api/health/detailed endpoint returns detailed system information including OS version, Python version, CPU count, memory totals, disk usage, and the full database filesystem path. When MCP_ALLOW_ANONYMOUS_ACCESS=true is set (required for the HTTP server to function without OAuth/API key), this endpoint is accessible without authentication. Combined with the default 0.0.0.0 binding, this exposes sensitive reconnaissance data to the entire network. This issue has been patched in version 10.21.0.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

5.3
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen

v3.15.3mediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:Nprimary · NVD / NIST USAusnutzbarkeit 3.9 · Auswirkung 1.4
v3.15.3mediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:Nsecondary · ENISA EU
v3.15.3mediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:Nsecondary · security-advisories@github.comAusnutzbarkeit 3.9 · Auswirkung 1.4
v3.15.3mediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:Nsecondary · OSV
v3.14.9mediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N/E:Usecondary · CVSS-BT (t0sche)
02

SSVC

Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.

Exploitation: poc · Automatable: yes · Technical Impact: partialcoordinatorcisa_ssvcUS
03

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

04

betroffene Produkte (3)

Betroffene Produkte und Versionsbereiche.

05

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-73hc-m4hx-79pjmcp-memory-service Vulnerable to System Information Disclosure via Health Endpoint2026-03-05ghsa · osvUS

    ### Summary The `/api/health/detailed` endpoint returns detailed system information including OS version, Python version, CPU count, memory totals, disk usage, and the full database filesystem path. When `MCP_ALLOW_ANONYMOUS_ACCESS=true` is set (required for the HTTP server to function without OAuth/API key), this endpoint is accessible without authentication. Combined with the default `0.0.0.0` binding, this exposes sensitive reconnaissance data to the entire network. ### Details ### Vulnerable Code **`health.py:90-101` - System information collection** ```python system_info = { "platform": platform.system(), # e.g., "Linux", "Darwin" "platform_version": platform.version(), # Full OS kernel version string "python_version": platform.python_version(),# e.g., "3.12.1" "cpu_count": psutil.cpu_count(), # CPU core count "memory_total_gb": round(memory_info.total / (1024**3), 2), "memory_available_gb": round(memory_info.available / (1024**3), 2), "memory_percent": memory_info.percent, "disk_total_gb": round(disk_info.total / (1024**3), 2), "disk_free_gb": round(disk_info.free / (1024**3), 2), "disk_percent": round((disk_info.used / disk_info.total) * 100, 2) } ``` **`health.py:131-132` - Database path disclosure** ```python if hasattr(storage, 'db_path'): storage_info["database_path"] = storage.db_path # Full filesystem path ``` ### Authentication Bypass Path The `/api/health/detailed` endpoint uses `require_read_access` which calls `get_current_user`. When `MCP_ALLOW_ANONYMOUS_ACCESS=true`, the auth middleware grants access: ```python # middleware.py:372-379 if ALLOW_ANONYMOUS_ACCESS: logger.debug("Anonymous access explicitly enabled, granting read-only access") return AuthenticationResult( authenticated=True, client_id="anonymous", scope="read", auth_method="none" ) ``` **Note**: The basic `/health` endpoint (line 68) has **no auth dependency at all** and returns version and uptime information unconditionally. ### Information Exposed | Field | Example Value | Reconnaissance Value | |-------|--------------|---------------------| | `platform` | `"Linux"` | OS fingerprinting | | `platform_version` | `"#1 SMP PREEMPT_DYNAMIC..."` | Kernel version → CVE targeting | | `python_version` | `"3.12.1"` | Python CVE targeting | | `cpu_count` | `8` | Resource enumeration | | `memory_total_gb` | `32.0` | Infrastructure profiling | | `database_path` | `"/home/user/.mcp-memory/memories.db"` | Username + file path disclosure | | `database_size_mb` | `45.2` | Data volume estimation | ### Attack Scenario 1. Attacker scans the local network for services on port 8000 2. Finds mcp-memory-service with HTTP enabled and anonymous access 3. Calls `GET /api/health/detailed` (no credentials needed) 4. Receives OS version, Python version, full database path (revealing username), system resources 5. Uses this information to: - Target known CVEs for the specific OS/Python version - Identify the database file location for potential direct access - Profile the system for further attacks ### PoC ```python # Show the system info that would be exposed import platform, psutil system_info = { "platform": platform.system(), "platform_version": platform.version(), "python_version": platform.python_version(), "cpu_count": psutil.cpu_count(), "memory_total_gb": round(psutil.virtual_memory().total / (1024**3), 2), } print(system_info) # All of this is returned to unauthenticated users ``` ### Impact - **OS fingerprinting**: Exact OS and kernel version enables targeted exploit selection - **Path disclosure**: Database path reveals username, home directory structure, and file locations - **Resource enumeration**: CPU, memory, and disk info reveal infrastructure scale - **Reconnaissance enablement**: Combined information significantly reduces attacker effort for follow-up attacks ## Remediation 1. **Remove system details from default health endpoint** - return only `status`, `version`, `uptime`: ```python @router.get("/health/detailed") async def detailed_health_check( storage: MemoryStorage = Depends(get_storage), user: AuthenticationResult = Depends(require_write_access) # Require admin/write access ): # Only return storage stats, not system info ... ``` 2. **Do not expose `database_path`** - this leaks the filesystem structure: ```python # Remove or redact # storage_info["database_path"] = storage.db_path # REMOVE THIS ``` 3. **Add auth to basic `/health`** or limit it to status-only (no version): ```python @router.get("/health") async def health_check(): return {"status": "healthy"} # No version, no uptime ``` Alternatively, **Bind to `127.0.0.1` by default** instead of `0.0.0.0`, preventing network-based reconnaissance entirely: ```python # In config.py — change default from '0.0.0.0' to '127.0.0.1' HTTP_HOST = os.getenv('MCP_HTTP_HOST', '127.0.0.1') ``` Users who need network access can explicitly set `MCP_HTTP_HOST=0.0.0.0`, making the exposure a conscious opt-in rather than a default.

  • PYSEC-2026-2623mcp-memory-service Vulnerable to System Information Disclosure via Health Endpoint2026-07-13vendor · osvUS

    ### Summary The `/api/health/detailed` endpoint returns detailed system information including OS version, Python version, CPU count, memory totals, disk usage, and the full database filesystem path. When `MCP_ALLOW_ANONYMOUS_ACCESS=true` is set (required for the HTTP server to function without OAuth/API key), this endpoint is accessible without authentication. Combined with the default `0.0.0.0` binding, this exposes sensitive reconnaissance data to the entire network. ### Details ### Vulnerable Code **`health.py:90-101` - System information collection** ```python system_info = { "platform": platform.system(), # e.g., "Linux", "Darwin" "platform_version": platform.version(), # Full OS kernel version string "python_version": platform.python_version(),# e.g., "3.12.1" "cpu_count": psutil.cpu_count(), # CPU core count "memory_total_gb": round(memory_info.total / (1024**3), 2), "memory_available_gb": round(memory_info.available / (1024**3), 2), "memory_percent": memory_info.percent, "disk_total_gb": round(disk_info.total / (1024**3), 2), "disk_free_gb": round(disk_info.free / (1024**3), 2), "disk_percent": round((disk_info.used / disk_info.total) * 100, 2) } ``` **`health.py:131-132` - Database path disclosure** ```python if hasattr(storage, 'db_path'): storage_info["database_path"] = storage.db_path # Full filesystem path ``` ### Authentication Bypass Path The `/api/health/detailed` endpoint uses `require_read_access` which calls `get_current_user`. When `MCP_ALLOW_ANONYMOUS_ACCESS=true`, the auth middleware grants access: ```python # middleware.py:372-379 if ALLOW_ANONYMOUS_ACCESS: logger.debug("Anonymous access explicitly enabled, granting read-only access") return AuthenticationResult( authenticated=True, client_id="anonymous", scope="read", auth_method="none" ) ``` **Note**: The basic `/health` endpoint (line 68) has **no auth dependency at all** and returns version and uptime information unconditionally. ### Information Exposed | Field | Example Value | Reconnaissance Value | |-------|--------------|---------------------| | `platform` | `"Linux"` | OS fingerprinting | | `platform_version` | `"#1 SMP PREEMPT_DYNAMIC..."` | Kernel version → CVE targeting | | `python_version` | `"3.12.1"` | Python CVE targeting | | `cpu_count` | `8` | Resource enumeration | | `memory_total_gb` | `32.0` | Infrastructure profiling | | `database_path` | `"/home/user/.mcp-memory/memories.db"` | Username + file path disclosure | | `database_size_mb` | `45.2` | Data volume estimation | ### Attack Scenario 1. Attacker scans the local network for services on port 8000 2. Finds mcp-memory-service with HTTP enabled and anonymous access 3. Calls `GET /api/health/detailed` (no credentials needed) 4. Receives OS version, Python version, full database path (revealing username), system resources 5. Uses this information to: - Target known CVEs for the specific OS/Python version - Identify the database file location for potential direct access - Profile the system for further attacks ### PoC ```python # Show the system info that would be exposed import platform, psutil system_info = { "platform": platform.system(), "platform_version": platform.version(), "python_version": platform.python_version(), "cpu_count": psutil.cpu_count(), "memory_total_gb": round(psutil.virtual_memory().total / (1024**3), 2), } print(system_info) # All of this is returned to unauthenticated users ``` ### Impact - **OS fingerprinting**: Exact OS and kernel version enables targeted exploit selection - **Path disclosure**: Database path reveals username, home directory structure, and file locations - **Resource enumeration**: CPU, memory, and disk info reveal infrastructure scale - **Reconnaissance enablement**: Combined information significantly reduces attacker effort for follow-up attacks ## Remediation 1. **Remove system details from default health endpoint** - return only `status`, `version`, `uptime`: ```python @router.get("/health/detailed") async def detailed_health_check( storage: MemoryStorage = Depends(get_storage), user: AuthenticationResult = Depends(require_write_access) # Require admin/write access ): # Only return storage stats, not system info ... ``` 2. **Do not expose `database_path`** - this leaks the filesystem structure: ```python # Remove or redact # storage_info["database_path"] = storage.db_path # REMOVE THIS ``` 3. **Add auth to basic `/health`** or limit it to status-only (no version): ```python @router.get("/health") async def health_check(): return {"status": "healthy"} # No version, no uptime ``` Alternatively, **Bind to `127.0.0.1` by default** instead of `0.0.0.0`, preventing network-based reconnaissance entirely: ```python # In config.py — change default from '0.0.0.0' to '127.0.0.1' HTTP_HOST = os.getenv('MCP_HTTP_HOST', '127.0.0.1') ``` Users who need network access can explicitly set `MCP_HTTP_HOST=0.0.0.0`, making the exposure a conscious opt-in rather than a default.

06

auch bekannt als (6)

Weitere Namen und Kennungen dieser Entität.

07

quellen

Welche Quellen diesen Datensatz belegen und wann.

veröffentlicht 2026-03-07geändert 2026-06-17
08

Referenzen (7)

Externe Belege — Patches, Meldungen, Analysen.

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