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| Property | Value |
|---|---|
| Advisory ID | SGZ-2026-0C706 |
| Severity | MEDIUM |
| CWE | CWE-798 |
| Confidence | 80% |
| Category | injection |
| Exploitability | likely |
| Package | 93de4b72-78d0-4790-b274-a67b4db09489@latest (pypi) |
| Location | airflow/include/airflow2/astronomermonitoringdag.py:10-11 |
| Attack Vector | NETWORK |
| Attack Complexity | LOW |
| Privileges Required | NONE |
| Discovered By | SafeGuard Zero-Day AI Discovery Engine |
The schedule_interval is set using an environment variable, but there is no validation or sanitization of the input.
The vulnerability was identified in the file airflow/include/airflow2/astronomermonitoringdag.py at lines 10-11 within the 93de4b72-78d0-4790-b274-a67b4db09489 package (version latest). Any code path that invokes these functions inherits this vulnerability.
File: airflow/include/airflow2/astronomermonitoringdag.py (lines 10-11)
schedule_interval=os.environ.get("AIRFLOW_MONITORING_DAG_SCHEDULE_INTERVAL", "*/5 * * * *")
The code above demonstrates the vulnerable pattern. This code is executed at runtime and can be directly exploited by an attacker with the appropriate access level.
An attacker could potentially exploit this by setting an environment variable to a malicious value.
An attacker could potentially disrupt the scheduling of the DAG.
Validate and sanitize the input from the environment variable.
Advisory: SGZ-2026-0C706 | Source: SafeGuard Zero-Day AI Discovery | Status: Candidate
This vulnerability was autonomously discovered by SafeGuard's AI-powered Zero-Day Discovery engine using TAOR (Think-Act-Observe-Repeat) agentic analysis on the package source code. It is not yet tracked in any public vulnerability database (CVE, NVD, GHSA, OSV). This finding should be triaged by a security engineer and, if confirmed, reported upstream to the package maintainer.
| Property | Value |
|---|---|
| Advisory ID | SGZ-2026-0C706 |
| Severity | MEDIUM |
| CWE | CWE-798 |
| Confidence | 80% |
| Category | injection |
| Exploitability | likely |
| Package | 93de4b72-78d0-4790-b274-a67b4db09489@latest (pypi) |
| Location | airflow/include/airflow2/astronomermonitoringdag.py:10-11 |
| Attack Vector | NETWORK |
| Attack Complexity | LOW |
| Privileges Required | NONE |
| Discovered By | SafeGuard Zero-Day AI Discovery Engine |
The schedule_interval is set using an environment variable, but there is no validation or sanitization of the input.
The vulnerability was identified in the file airflow/include/airflow2/astronomermonitoringdag.py at lines 10-11 within the 93de4b72-78d0-4790-b274-a67b4db09489 package (version latest). Any code path that invokes these functions inherits this vulnerability.
File: airflow/include/airflow2/astronomermonitoringdag.py (lines 10-11)
schedule_interval=os.environ.get("AIRFLOW_MONITORING_DAG_SCHEDULE_INTERVAL", "*/5 * * * *")
The code above demonstrates the vulnerable pattern. This code is executed at runtime and can be directly exploited by an attacker with the appropriate access level.
An attacker could potentially exploit this by setting an environment variable to a malicious value.
An attacker could potentially disrupt the scheduling of the DAG.
Validate and sanitize the input from the environment variable.
Advisory: SGZ-2026-0C706 | Source: SafeGuard Zero-Day AI Discovery | Status: Candidate
This vulnerability was autonomously discovered by SafeGuard's AI-powered Zero-Day Discovery engine using TAOR (Think-Act-Observe-Repeat) agentic analysis on the package source code. It is not yet tracked in any public vulnerability database (CVE, NVD, GHSA, OSV). This finding should be triaged by a security engineer and, if confirmed, reported upstream to the package maintainer. This vulnerability involves weaknesses in
This medium-severity vulnerability could be exploited under certain conditions to compromise security controls or access sensitive information. Should be addressed in a timely manner.
Isolate affected systems from untrusted networks until patching is complete
Implement enhanced monitoring for exploitation attempts and unusual behavior