CVE-2025-9914: CWE-288 Authentication Bypass Using an Alternate Path or Channel in SICK AG Baggage Analytics
The credentials of the users stored in the system's local database can be used for the log in, making it possible for an attacker to gain unauthorized access. This could potentially affect the confidentiality of the application.
AI Analysis
Technical Summary
CVE-2025-9914 identifies an authentication bypass vulnerability classified under CWE-288 in SICK AG's Baggage Analytics product, which is used primarily in airport baggage handling and analytics systems. The vulnerability arises because the system relies on user credentials stored in a local database for authentication. An attacker with some level of privileges (PR:L) can exploit an alternate path or channel to bypass the intended authentication mechanism, gaining unauthorized access to the application without needing user interaction. The vulnerability has a CVSS 3.1 base score of 4.3, indicating medium severity, with an attack vector of network (AV:N), low attack complexity (AC:L), and no impact on integrity or availability but limited impact on confidentiality (C:L). This means the attacker can potentially view sensitive information but cannot alter or disrupt the system. The flaw does not require user interaction and affects all versions of the Baggage Analytics product. No patches or known exploits are currently available, but the vulnerability is publicly disclosed and should be addressed promptly. The reliance on local credential storage and alternate authentication paths suggests weaknesses in authentication design and access control enforcement, which could be exploited to compromise sensitive baggage handling data or analytics results.
Potential Impact
For European organizations, especially those operating in the aviation and logistics sectors, this vulnerability poses a risk to the confidentiality of sensitive baggage handling and passenger data. Unauthorized access could lead to exposure of operational analytics, potentially revealing patterns or sensitive information that could be leveraged for further attacks or espionage. While the vulnerability does not impact system integrity or availability, the breach of confidentiality could undermine trust, lead to regulatory non-compliance (e.g., GDPR), and cause reputational damage. Airports and logistics companies relying on SICK's Baggage Analytics may face increased risk of insider threats or external attackers exploiting this flaw to gain footholds within critical infrastructure environments. The medium severity rating suggests that while the risk is not critical, it is significant enough to warrant immediate attention, especially given the strategic importance of airport security and baggage handling in Europe.
Mitigation Recommendations
1. Restrict access to the local database storing user credentials by implementing strict access control lists and network segmentation to limit exposure only to trusted systems and personnel. 2. Monitor authentication logs and network traffic for unusual login attempts or access patterns that could indicate exploitation attempts. 3. Enforce the principle of least privilege for all users and services interacting with the Baggage Analytics system to reduce the potential attack surface. 4. Implement multi-factor authentication (MFA) where possible to add an additional layer of security beyond local credentials. 5. Regularly audit and review user accounts and permissions within the system to detect and remove unnecessary or stale accounts. 6. Engage with SICK AG for timely updates and patches; apply them as soon as they become available. 7. Consider deploying intrusion detection/prevention systems (IDS/IPS) tailored to detect attempts to exploit authentication bypass techniques. 8. Conduct security awareness training for staff managing these systems to recognize and respond to potential security incidents related to this vulnerability.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Belgium
CVE-2025-9914: CWE-288 Authentication Bypass Using an Alternate Path or Channel in SICK AG Baggage Analytics
Description
The credentials of the users stored in the system's local database can be used for the log in, making it possible for an attacker to gain unauthorized access. This could potentially affect the confidentiality of the application.
AI-Powered Analysis
Technical Analysis
CVE-2025-9914 identifies an authentication bypass vulnerability classified under CWE-288 in SICK AG's Baggage Analytics product, which is used primarily in airport baggage handling and analytics systems. The vulnerability arises because the system relies on user credentials stored in a local database for authentication. An attacker with some level of privileges (PR:L) can exploit an alternate path or channel to bypass the intended authentication mechanism, gaining unauthorized access to the application without needing user interaction. The vulnerability has a CVSS 3.1 base score of 4.3, indicating medium severity, with an attack vector of network (AV:N), low attack complexity (AC:L), and no impact on integrity or availability but limited impact on confidentiality (C:L). This means the attacker can potentially view sensitive information but cannot alter or disrupt the system. The flaw does not require user interaction and affects all versions of the Baggage Analytics product. No patches or known exploits are currently available, but the vulnerability is publicly disclosed and should be addressed promptly. The reliance on local credential storage and alternate authentication paths suggests weaknesses in authentication design and access control enforcement, which could be exploited to compromise sensitive baggage handling data or analytics results.
Potential Impact
For European organizations, especially those operating in the aviation and logistics sectors, this vulnerability poses a risk to the confidentiality of sensitive baggage handling and passenger data. Unauthorized access could lead to exposure of operational analytics, potentially revealing patterns or sensitive information that could be leveraged for further attacks or espionage. While the vulnerability does not impact system integrity or availability, the breach of confidentiality could undermine trust, lead to regulatory non-compliance (e.g., GDPR), and cause reputational damage. Airports and logistics companies relying on SICK's Baggage Analytics may face increased risk of insider threats or external attackers exploiting this flaw to gain footholds within critical infrastructure environments. The medium severity rating suggests that while the risk is not critical, it is significant enough to warrant immediate attention, especially given the strategic importance of airport security and baggage handling in Europe.
Mitigation Recommendations
1. Restrict access to the local database storing user credentials by implementing strict access control lists and network segmentation to limit exposure only to trusted systems and personnel. 2. Monitor authentication logs and network traffic for unusual login attempts or access patterns that could indicate exploitation attempts. 3. Enforce the principle of least privilege for all users and services interacting with the Baggage Analytics system to reduce the potential attack surface. 4. Implement multi-factor authentication (MFA) where possible to add an additional layer of security beyond local credentials. 5. Regularly audit and review user accounts and permissions within the system to detect and remove unnecessary or stale accounts. 6. Engage with SICK AG for timely updates and patches; apply them as soon as they become available. 7. Consider deploying intrusion detection/prevention systems (IDS/IPS) tailored to detect attempts to exploit authentication bypass techniques. 8. Conduct security awareness training for staff managing these systems to recognize and respond to potential security incidents related to this vulnerability.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- SICK AG
- Date Reserved
- 2025-09-03T08:59:00.184Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68e369cfbd6176610b49cab6
Added to database: 10/6/2025, 7:03:43 AM
Last enriched: 10/6/2025, 7:10:21 AM
Last updated: 10/6/2025, 6:24:32 PM
Views: 7
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