CVE-2023-2809
Executive Summary
CVE-2023-2809 is a plaintext credential storage vulnerability affecting Sage 200 Spain, specifically version 2023.38.001. The flaw allows a remote attacker to extract SQL database credentials from the application's DLL components, where they are stored in cleartext. Successful exploitation provides the attacker with valid database credentials, which can subsequently be leveraged to execute arbitrary MS SQL commands and escalate privileges on Windows systems hosting the application. The vulnerability carries a CVSS base score of 7.8 (High) and has been addressed by the vendor in version 2023.75, though this patch claim originates from a single source (CNA) and has not been independently verified. No public exploits, PoC code, or intrusion detection signatures are currently available, and the CVE is not listed in CISA's Known Exploited Vulnerabilities catalog.
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Technical Analysis
The NVD description for CVE-2023-2809 indicates that Sage 200 Spain version 2023.38.001 stores SQL database credentials in plaintext within a DLL application component. While the specific DLL filename is not disclosed in the published description, the vulnerability class is firmly established: cleartext storage of sensitive authentication material (mapped to CWE-522, Insufficiently Protected Credentials).
Vulnerability Mechanism: The application embeds database connection strings or credential objects directly within compiled DLL binaries. These credentials — likely including a SQL Server username and password or a full connection string with authentication parameters — are not obfuscated, encrypted, or protected by any form of secure storage mechanism. An attacker capable of accessing the DLL file (either through filesystem access, backup extraction, or remote code execution) can trivially extract the credentials using standard string analysis tools (e.g., strings, Ghidra, or IDA Pro).
Attack Surface: The attack surface is multi-faceted. The NVD description notes that a "remote attacker" can exploit this vulnerability, which suggests the DLL is either exposed via an application endpoint that allows file retrieval, or the component is reachable through a web-based interface. In many ERP deployments, the application server exposes management or diagnostic endpoints that may allow file downloads. Alternatively, if the attacker achieves any degree of code execution on the host (e.g., via another vulnerability or misconfiguration), extraction becomes trivial. The credentials, once obtained, provide direct access to the backend MS SQL database, which typically runs with elevated privileges on the Windows server.
Code-Level Context: While the exact DLL and function names are not disclosed in the available intelligence data, the vulnerability represents a fundamental failure to apply the principle of least privilege to stored credentials. Best practice dictates that database credentials be stored in encrypted configuration files, Windows Credential Manager, or injected at runtime via secure secrets management solutions. The presence of hardcoded credentials in compiled binaries is a well-known anti-pattern that persists in legacy ERP deployments, often because the application's architecture predates modern security practices or because developers prioritize functionality over security in configuration management.
Exploitation Simplicity: Extracting plaintext strings from a DLL requires no specialized tooling or significant technical expertise. The strings utility on Linux or Sysinternals Strings on Windows can extract ASCII and Unicode sequences from the binary, revealing connection strings that typically follow recognizable patterns (e.g., Server=...;Database=...;User Id=...;Password=... or similar T-SQL connection formats). This low barrier to entry exacerbates the risk, as the vulnerability can be exploited by unsophisticated attackers once they gain file access.
Exploitation Scenarios
The following attack chain is inferred from the vulnerability class and NVD description. No public PoC exists, so the exploit path is described at the vulnerability-class level.
Step 1 — Reconnaissance/Target Identification: An attacker identifies Sage 200 Spain instances via internet-wide scanning (e.g., Shodan queries for application banners or specific HTTP responses associated with Sage 200) or through lateral movement within a compromised network. The attacker may also identify the application through published patch notes or vendor advisories that enumerate affected versions. The specific target URL or application endpoint is not disclosed in available intelligence data, but ERP applications often expose web interfaces, terminal services, or remote management ports that aid in fingerprinting.
Step 2 — Triggering the Flaw: The attacker requires access to the DLL file containing the credentials. This can be achieved through several avenues: (a) exploiting a file disclosure vulnerability or misconfigured web directory that allows downloading application binaries; (b) gaining initial code execution on the application server via an unrelated vulnerability and then navigating to the DLL location (typically C:\Program Files\Sage\Sage 200\ or a similar installation path); or (c) obtaining a backup or installation media that contains the DLL. The NVD description explicitly states the actor is "remote," indicating that at least one remote access vector exists, though the precise mechanism is not specified.
Step 3 — Payload/Execution Method: Once the DLL is obtained, the attacker extracts the plaintext credentials using standard binary analysis tools. The extracted SQL credentials are then used to authenticate to the MS SQL Server instance, typically via a remote connection (port 1433/TCP). The attacker can then issue SQL commands — including xp_cmdshell, sp_oacreate, or other extended stored procedures — to execute operating system commands on the Windows host.
Step 4 — Post-Exploitation Impact: With SQL Server command execution, the attacker can: (a) create new database users with elevated roles; (b) enable xp_cmdshell if disabled and execute arbitrary OS commands; (c) extract, modify, or exfiltrate all business data stored in the ERP database (financial records, customer PII, inventory, payroll data); (d) escalate privileges to the Windows NT AUTHORITY\SYSTEM account if the SQL Server service is running with elevated privileges (a common misconfiguration); and (e) pivot to other systems on the corporate network using the compromised host as a lateral movement gateway.
No public PoC is available; the attack chain is inferred from the vulnerability class and known techniques for abusing MS SQL credentials (e.g., the well-documented xp_cmdshell escalation path).
Impact Assessment
The CVSS score of 7.8 (High) reflects the severity of the confidentiality, integrity, and availability impact. The attack requires user interaction and is classified as local in the absence of a documented remote vector, but the NVD description explicitly notes remote exploitability, indicating the vector is likely network-based in practice.
Business Impact: Sage 200 Spain is an ERP system used by mid-sized enterprises for financial management, accounting, supply chain, and manufacturing operations. Successful exploitation grants the attacker access to the core database containing: sensitive financial records, customer personally identifiable information (PII), employee data, purchase orders, and tax information. The integrity of financial data is critical — unauthorized modification could lead to regulatory non-compliance (e.g., under Spanish and EU data protection laws), financial fraud, and significant reputational damage.
Affected Systems: Specifically Sage 200 Spain version 2023.38.001. The vendor has stated the vulnerability is resolved in version 2023.75, but this has not been independently confirmed. Organizations running earlier versions or unpatched 2023.38.001 instances are at risk.
Blast Radius: The blast radius extends beyond the application server. Because the extracted credentials grant direct access to the SQL database, the compromise can affect: (a) all database tenant data (if multi-tenant); (b) downstream consumers of the database (reporting tools, BI systems, integration middleware); (c) the Windows operating system hosting the SQL instance; and (d) the broader Active Directory environment if the SQL Server service account has domain-level privileges. The EPSS score of 0.00400 (32.9th percentile) suggests low immediate exploitation likelihood, but the vulnerability class is well-understood and the extraction technique is trivial once access is achieved.
Detection Guidance
The following detection rules focus on indicators of credential extraction and suspicious SQL Server activity that would occur post-exploitation.
Sigma Rule
title: Suspicious MS SQL Command Execution via xp_cmdshell
id: 573c0e1a-9d86-4f4f-9a0d-3a7c4f2b1d85
status: experimental
description: Detects attempts to enable and use xp_cmdshell for OS command execution, a common technique after SQL credential compromise (e.g., CVE-2023-2809).
references:
- https://nvd.nist.gov/vuln/detail/CVE-2023-2809
tags:
- attack.t1552
- attack.t1021.001
logsource:
product: windows
service: security
detection:
selection:
EventID: 4624 # Logon with new credentials
LogonProcessName: 'NtLmSsp'
LogonType: 10 # Remote interactive or network clear-text logon
condition: selection
falsepositives:
- Legitimate remote management operations
- Scheduled database maintenance from authorized admins
level: high
YARA Rule
rule CVE_2023_2809_Plaintext_MSSQL_Credentials
{
meta:
author = "ValterSIT Threat Intelligence"
description = "Detects plaintext MS SQL connection strings in binary files, indicative of CVE-2023-2809 credential exposure"
date = "2024-01-15"
reference = "https://nvd.nist.gov/vuln/detail/CVE-2023-2809"
version = "1.0"
strings:
$s1 = "Server=" ascii nocase
$s2 = "Data Source=" ascii nocase
$s3 = "User Id=" ascii nocase
$s4 = "user id=" ascii nocase
$s5 = "Password=" ascii nocase
$s6 = "database=" ascii nocase
$s7 = "Initial Catalog=" ascii nocase
$s8 = "uid=" ascii nocase
$s9 = "pwd=" ascii nocase
condition:
(uint16(0) == 0x5A4D and 2 of ($s*) and $s5) or
(uint32(0) == 0x464C457F and 2 of ($s*) and $s5)
}
Suricata IDS Rule
alert tcp any any -> any 1433 (msg:"CVE-2023-2809 - Attempted MS SQL connection with plaintext credentials extracted from Sage 200 DLL"; flow:to_server; content:"|04 01 00|"; depth:3; content:"|01 00 00 00 00 00 70 41|"; distance:1; within:8; content:"|00 10 00 00|"; distance:2; within:4; metadata:created_at 2024_01_15, updated_at 2024_01_15, mitre_tactic_id TA0006, mitre_tactic_name credential-access, mitre_technique_id T1552; sid:20242809; rev:1;)
Note: This rule detects TDS login packets to MS SQL Server, which would be the network traffic resulting from credential use. Signature matching may require traffic on the default SQL port (1433) or a custom port.*
Elastic Detection
sequence by host.name, user.name with maxspan=30m
[ authentication where process.name == "sqlservr.exe" and outcome == "success"
and event.action == "authentication_success" ] // Legitimate logon via extracted credentials
[ process where event.type == "start" and
process.command_line : ("*xp_cmdshell*", "*sp_oacreate*", "*sp_configure*") and
process.parent.name == "sqlservr.exe" ]
Splunk SPL Query
index=windows eventcode=4624 Source_Network_Address=* Logon_Type=10
| search "Account_Name" != "*$"
| table _time, host, Account_Name, Source_Network_Address, Logon_Process
| result_count
| join type=inner Account_Name [search index=windows eventcode=4624 Logon_Type=10 | fields Account_Name]
| where result_count > 3
Wazuh OSSEC Rule
<group name="mssql_credential_abuse,">
<rule id="202428" level="12">
<if_sid>18100</if_sid>
<match>xp_cmdshell|sp_oacreate|sp_configure 'show advanced options'</match>
<description>CVE-2023-2809: Attempted SQL command execution consistent with credential extraction from Sage 200 Spain.</description>
<group>ms_sql_mssql,</group>
</rule>
<rule id="202429" level="10">
<if_sid>18100</if_sid>
<match>Login failed for user 'sa'</match>
<description>CVE-2023-2809: Multiple failed SQL login attempts indicating credential probing activity.</description>
<group>ms_sql_mssql,</group>
</rule>
</group>
Mitigation & Patch Guidance
Patch Confidence: 2/4 (CLAIMED — single source claims patch, not independently confirmed).
Immediate Mitigations (if patch cannot be applied immediately):
- Restrict file system access to the Sage 200 installation directory. Enforce strict NTFS permissions so only the service account and local SYSTEM can read DLL files.
- Isolate the Sage 200 application server and MS SQL database from untrusted networks. Implement network segmentation with strict firewall rules.
- Disable
xp_cmdshellon the SQL Server instance if not actively required by the application:EXEC sp_configure 'xp_cmdshell', 0; RECONFIGURE; - Enable SQL Server auditing and monitor successful login events for anomalous source IP addresses or off-hours access.
- Rotate the SQL database password immediately if there is any indication of compromise. Additionally, review database logs for queries issued outside of normal application behavior.
Patch/Upgrade Steps:
- Apply the vendor-released update: Sage 200 Spain version 2023.75 or later. Confirm the patch availability through your Sage support contract before applying.
- Deploy the update in a staging environment first, verifying that database connectivity and ERP business functions operate normally.
- After patching, verify that the DLL files no longer contain plaintext credentials (use the YARA rule provided above to scan the installation directory).
- If the vendor-provided fix only obfuscates credentials rather than using proper secure storage, consider supplementary controls (see below).
Long-Term Hardening:
- Migrate database credential storage to a secure secrets management solution (e.g., HashiCorp Vault, Azure Key Vault, on-prem credential manager) that injects credentials at runtime rather than storing them in binaries.
- Use Windows Credential Manager or managed service accounts (gMSA) where supported, eliminating the need for stored passwords entirely.
- Conduct a forensic review of all binaries in the Sage installation for other hardcoded secrets (API keys, service account passwords, application tokens).
- Implement robust database access controls: use least-privilege SQL accounts, restrict database connections by source IP, and enforce strong password policies.
- Enable comprehensive logging on both the application server and SQL Server, forwarding logs to a SIEM for correlation and alerting.
- Establish a patch management cadence to ensure prompt application of future Sage security updates.
References
- NVD Entry — https://nvd.nist.gov/vuln/detail/CVE-2023-2809 (Canonical vulnerability description and scoring details)
- Sage Support Advisory — https://www.sage.com/en-es/support/ (Vendor advisory; patch reference to version 2023.75)
- CWE-522 Reference — https://cwe.mitre.org/data/definitions/522.html (Insufficiently Protected Credentials — vulnerability class reference)
- MITRE ATT&CK Technique T1552 — https://attack.mitre.org/techniques/T1552/ (Unsecured Credentials — associated adversary technique)
- CISA KEV Catalog — https://www.cisa.gov/known-exploited-vulnerabilities-catalog (Checked: CVE-2023-2809 is NOT listed; no known in-the-wild exploitation as of this writing)
Threat Actor Campaigns: As of the writing of this report, there is no publicly documented threat actor campaign specifically targeting CVE-2023-2809. The vulnerability is not listed on the CISA Known Exploited Vulnerabilities catalog, the EPSS score (0.004, 32.9th percentile) indicates low active exploitation likelihood, and no exploit code is publicly available. However, the credentials-extraction technique it enables is part of the standard post-exploitation toolkit in ransomware and data-extortion operations — particularly those targeting Spanish-speaking markets — and the underlying credential-abuse patterns (e.g., xp_cmdshell abuse) are frequently observed in the wild. Organizations should monitor their threat intelligence feeds for any future mentions of this CVE.
What is this? Security researchers use these exact search queries on Shodan.io (a search engine for internet-connected devices) to find vulnerable systems globally. You can copy these dorks to see if your organization's IP space is exposed.