CVE Alert: CVE-2025-12277 – Abdullah-Hasan-Sajjad – Online-School
CVE-2025-12277
A flaw has been found in Abdullah-Hasan-Sajjad Online-School up to f09dda77b4c29aa083ff57f4b1eb991b98b68883. This affects an unknown part of the file /studentLogin.php. This manipulation of the argument Email causes sql injection. The attack is possible to be carried out remotely. The exploit has been published and may be used. This product adopts a rolling release strategy to maintain continuous delivery The vendor was contacted early about this disclosure but did not respond in any way.
AI Summary Analysis
Risk verdict
Remote SQL injection on the student login endpoint is publicly exploitable with no authentication; urgent remediation is warranted given the exposure and published exploit.
Why this matters
An attacker can read or modify student records, potentially exfiltrate credentials, or disrupt access to the Online-School service. In environments using rolling releases, timely patching may lag, increasing dwell time and risk of data integrity or availability impact, plus regulatory or reputational consequences if student data is exposed.
Most likely attack path
Attack is network-based with no user interaction and no privileges required. An attacker supplies crafted input to the Email parameter in the login flow, triggering an injection that can leak or corrupt data in the database. Lateral movement is limited by the scope of the adversary’s query, but successful data exposure or alteration remains plausible; attack surface is the affected component and adjacent data stores.
Who is most exposed
Educational institutions or services deploying this Online-School product, especially those hosting a publicly accessible PHP-based login on standard LAMP/ comparable stacks, are at highest risk.
Detection ideas
- Web server logs showing anomalous requests to /studentLogin.php with suspicious Email values
- Database errors or stack traces surfaced in logs or error pages
- SQLi-pattern alerts in WAF or IDS correlated to login endpoint
- Unusual spikes in login failures or data retrieval queries
- PoC or exploitation signatures in network traffic or application logs
Mitigation and prioritisation
- Apply vendor patch or upgrade to the fixed release; verify patch integrity
- Implement parameterised queries and prepared statements for the login flow
- Validate and constrain Email input; disable dynamic string concatenation in queries
- Enable and tune WAF/IDS rules to block SQLi patterns targeting the login endpoint
- Roll out changes via controlled change management; monitor after deployment
- If KEV or EPSS indicators were present, elevate to priority 1 (not assumed here)
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