Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain low-privilege credentials (or attempt unauthenticated per conflict)
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DeliverySend crafted GET request to text_file.php
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ExploitInject error-based SQL payload via id parameter
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ExecutionRead database error message in HTTP response
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PersistEnumerate schema and table structure
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ImpactExfiltrate credentials and private file records
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Persistence The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | The vulnerability is triggered by supplying a malicious value to the |
| Impact | The CVSS 4.0 score of 8.7 reflects network-reachable, low-complexity exploitation with high confidentiality, integrity, and availability impact on the vulnerable system and no subsequent-system scope change (SC:N/SI:N/SA:N). SSVC reinforces this: exploitation is poc-confirmed, the attack is automatable, and technical impact is classified as total. Despite these signals, EPSS is only 0.37% at the 29th percentile, suggesting limited observed in-the-wild exploitation activity at time of analysis - consistent with a niche product. No CISA KEV listing is present. A material conflict exists in the authentication data: the CVE description states 'authenticated attacker' and the CVSS 4.0 base vector specifies PR:L (low privileges required), yet the VulnCheck advisory URL explicitly describes this as 'unauthenticated SQL injection.' If the unauthenticated claim is accurate, real-world risk escalates substantially and the CVSS vector would understate exposure. Defenders should treat the unauthenticated scenario as the planning assumption until the vendor resolves this discrepancy. |
| Exploit ScenarioDerived | A public exploit is available as a GitHub gist at https://gist.github.com/cyberinforepo/d5b2771d82e1b31b8fc1c33052e08dad. An attacker sends a GET request to text_file.php with a payload such as |
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Alert meAnalysisAIv3 – Aug 24, 2026
Error-based SQL injection in Guardian language-system's text_file.php exposes the full database to extraction via a trivially crafted HTTP GET request. The unsanitized id parameter is concatenated directly into a SQL query at line 17 - a textbook CWE-89 flaw in a PHP application - enabling iterative database enumeration and data exfiltration. A public exploit exists on GitHub, SSVC classifies it as automatable with total technical impact, and while EPSS is low at 0.37%, the automatable nature and public POC availability demand prompt remediation for any deployment. No vendor-released tagged patch has been confirmed at time of analysis.
Earlier versions of this analysis (2)
SQL injection in Guardian language-system's text_file.php exposes full database contents to authenticated network attackers via an unsanitized GET parameter. The id parameter is concatenated directly into a SQL query at line 17 with no parameterization or escaping, enabling error-based data extraction. A publicly available proof-of-concept exploit exists per VulnCheck, and SSVC classifies the attack as automatable with total technical impact, though EPSS remains low (0.37%) consistent with the product's niche deployment footprint.
SQL injection in Guardian language-system's text_file.php lets remote attackers extract arbitrary database contents by injecting into the unsanitized 'id' GET parameter. The flaw is a classic error-based SQLi (CWE-89) where user input is concatenated directly into a SELECT statement, and publicly available exploit code exists (reported by VulnCheck). No CISA KEV listing exists, so this represents publicly available exploit code rather than confirmed active exploitation.
RemediationAI
No vendor-released patch with a confirmed tagged version has been identified at time of analysis; the EUVD affected-version boundary is defined by git commit hash e42c395ec4b03fe62973a669c9209a673838b8a4, indicating a code-level upstream fix may exist but a formally released patched version is not independently confirmed. The definitive remediation is to rewrite the SQL query in text_file.php at line 17 using PDO prepared statements with bound parameters, eliminating string concatenation entirely - this is the only fix that fully addresses the root cause. As a compensating control, restrict access to text_file.php at the web server layer using nginx location blocks or Apache FilesMatch directives, limiting access to authenticated sessions or trusted IP ranges; note this will break legitimate functionality if the endpoint serves anonymous users and the authentication conflict is resolved in favor of unauthenticated access. Deploying a WAF rule to enforce strict integer-only validation on the id parameter provides an additional defense-in-depth layer with low false-positive risk given the parameter's expected numeric type. Refer to the VulnCheck advisory at https://www.vulncheck.com/advisories/guardian-language-system-unauthenticated-sql-injection-via-id-parameter-in-text-file-php for further guidance.
Affected VersionsENISA
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Technical ContextAI · show details
The vulnerable code in text_file.php at line 17 concatenates the raw GET parameter id directly into a SQL SELECT statement with no parameterization, casting, or escaping: SELECT id, filename, extension, type, duration, owner, private FROM files where id = '".$_GET['id']."'. This is a canonical CWE-89 (Improper Neutralization of Special Elements used in an SQL Query) pattern common in legacy PHP codebases that predate widespread adoption of PDO prepared statements. The error-based injection technique referenced in the description implies the application reflects SQL error messages to the HTTP client, enabling data extraction without blind timing or Boolean-based approaches - reducing exploitation complexity further. The affected product is identified by CPE cpe:2.3:a:guardian:language-system:*:*:*:*:*:*:*:*, a PHP-based language and file management system developed under the Guardian project.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Network-accessible endpoint needing no complexity or interaction; PR:L consistent with CVSS 4.0 source vector and authenticated-attacker description; scope unchanged as impact is confined to the local database.
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
Lifecycle Timeline
4DescriptionCVE.org
Guardian language-system passes the id GET parameter directly into an unsanitized SQL query in text_file.php (line 17): SELECT id, filename, extension, type, duration, owner, private FROM files where id = '\".$_GET['id'].\"'. An authenticated attacker can perform error-based SQL injection to extract database contents.
Executive ViewAI
Guardian language-system contains an easily exploitable SQL injection vulnerability enabling unauthenticated extraction of the entire database through a simple HTTP GET request. Organizations operating this system face complete compromise of database contents, including all stored application data and credentials. Immediate action is required given the public availability of working exploit code and the absence of a vendor patch.
Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the id parameter; restrict database user credentials to read-only access or minimum required privileges; enforce network segmentation to limit direct database connectivity; deploy database activity monitoring and alerting on suspicious query patterns; consider disabling the affected functionality if business-critical alternatives exist.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.
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EUVD-2026-41058
GHSA-5387-2p2x-h6ff
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB