CVE-2025-12978: CWE-187: Partial String Comparison in FluentBit Fluent Bit
Fluent Bit in_http, in_splunk, and in_elasticsearch input plugins contain a flaw in the tag_key validation logic that fails to enforce exact key-length matching. This allows crafted inputs where a tag prefix is incorrectly treated as a full match. A remote attacker with authenticated or exposed access to these input endpoints can exploit this behavior to manipulate tags and redirect records to unintended destinations. This compromises the authenticity of ingested logs and can allow injection of forged data, alert flooding and routing manipulation.
AI Analysis
Technical Summary
CVE-2025-12978 affects Fluent Bit, an open-source log processor and forwarder widely used for collecting and routing logs in cloud-native and hybrid environments. The vulnerability resides in the tag_key validation logic within the in_http, in_splunk, and in_elasticsearch input plugins. Specifically, the flaw is a partial string comparison issue (CWE-187) where the validation logic incorrectly treats a tag prefix as a full match due to failure to enforce exact key-length matching. This means that crafted inputs with tag prefixes can bypass intended validation checks. An attacker with authenticated access or access to exposed input endpoints can exploit this to manipulate log tags, causing logs to be redirected to unintended destinations. This manipulation undermines the authenticity and integrity of ingested logs, enabling injection of forged data, alert flooding, and routing manipulation. The vulnerability does not impact confidentiality directly but affects integrity and availability of logging data. The CVSS v3.1 base score is 5.4 (medium severity), with attack vector network, low attack complexity, requiring privileges, no user interaction, and unchanged scope. No patches or exploits are currently reported, but the flaw poses a risk in environments where Fluent Bit is exposed or improperly secured.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for those relying on Fluent Bit for centralized logging and monitoring in critical infrastructure, cloud services, and enterprise environments. Manipulated logs can lead to incorrect security alerts, masking of malicious activities, or injection of false data that could mislead incident response teams. Alert flooding can overwhelm monitoring systems, reducing their effectiveness. Misrouting logs to unintended destinations may result in data leakage or loss of audit trails, affecting compliance with regulations such as GDPR. The integrity and availability of logging data are crucial for forensic investigations and operational monitoring, so exploitation could degrade security posture and operational reliability. Organizations with exposed or weakly authenticated Fluent Bit input endpoints are at higher risk. The medium severity rating suggests that while the vulnerability is not trivial, it requires some level of access, limiting widespread exploitation but still posing a notable threat to targeted environments.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should: 1) Immediately review and restrict access to Fluent Bit input endpoints (in_http, in_splunk, in_elasticsearch) by implementing strong authentication and network segmentation to limit exposure. 2) Monitor and audit log routing configurations to detect unusual tag manipulations or unexpected log destinations. 3) Apply strict input validation and filtering rules where possible to prevent malformed tag inputs. 4) Stay updated with Fluent Bit releases and apply patches promptly once available, as no official patch is currently listed. 5) Employ anomaly detection on logging and alerting systems to identify alert flooding or suspicious log injection patterns. 6) Conduct regular security assessments of logging infrastructure to ensure no unauthorized access paths exist. 7) Consider deploying additional logging integrity verification mechanisms, such as cryptographic signing or checksums, to detect tampering. These steps go beyond generic advice by focusing on access control, monitoring, and proactive detection tailored to the nature of this vulnerability.
Affected Countries
Germany, France, Netherlands, United Kingdom, Sweden, Finland
CVE-2025-12978: CWE-187: Partial String Comparison in FluentBit Fluent Bit
Description
Fluent Bit in_http, in_splunk, and in_elasticsearch input plugins contain a flaw in the tag_key validation logic that fails to enforce exact key-length matching. This allows crafted inputs where a tag prefix is incorrectly treated as a full match. A remote attacker with authenticated or exposed access to these input endpoints can exploit this behavior to manipulate tags and redirect records to unintended destinations. This compromises the authenticity of ingested logs and can allow injection of forged data, alert flooding and routing manipulation.
AI-Powered Analysis
Technical Analysis
CVE-2025-12978 affects Fluent Bit, an open-source log processor and forwarder widely used for collecting and routing logs in cloud-native and hybrid environments. The vulnerability resides in the tag_key validation logic within the in_http, in_splunk, and in_elasticsearch input plugins. Specifically, the flaw is a partial string comparison issue (CWE-187) where the validation logic incorrectly treats a tag prefix as a full match due to failure to enforce exact key-length matching. This means that crafted inputs with tag prefixes can bypass intended validation checks. An attacker with authenticated access or access to exposed input endpoints can exploit this to manipulate log tags, causing logs to be redirected to unintended destinations. This manipulation undermines the authenticity and integrity of ingested logs, enabling injection of forged data, alert flooding, and routing manipulation. The vulnerability does not impact confidentiality directly but affects integrity and availability of logging data. The CVSS v3.1 base score is 5.4 (medium severity), with attack vector network, low attack complexity, requiring privileges, no user interaction, and unchanged scope. No patches or exploits are currently reported, but the flaw poses a risk in environments where Fluent Bit is exposed or improperly secured.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for those relying on Fluent Bit for centralized logging and monitoring in critical infrastructure, cloud services, and enterprise environments. Manipulated logs can lead to incorrect security alerts, masking of malicious activities, or injection of false data that could mislead incident response teams. Alert flooding can overwhelm monitoring systems, reducing their effectiveness. Misrouting logs to unintended destinations may result in data leakage or loss of audit trails, affecting compliance with regulations such as GDPR. The integrity and availability of logging data are crucial for forensic investigations and operational monitoring, so exploitation could degrade security posture and operational reliability. Organizations with exposed or weakly authenticated Fluent Bit input endpoints are at higher risk. The medium severity rating suggests that while the vulnerability is not trivial, it requires some level of access, limiting widespread exploitation but still posing a notable threat to targeted environments.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should: 1) Immediately review and restrict access to Fluent Bit input endpoints (in_http, in_splunk, in_elasticsearch) by implementing strong authentication and network segmentation to limit exposure. 2) Monitor and audit log routing configurations to detect unusual tag manipulations or unexpected log destinations. 3) Apply strict input validation and filtering rules where possible to prevent malformed tag inputs. 4) Stay updated with Fluent Bit releases and apply patches promptly once available, as no official patch is currently listed. 5) Employ anomaly detection on logging and alerting systems to identify alert flooding or suspicious log injection patterns. 6) Conduct regular security assessments of logging infrastructure to ensure no unauthorized access paths exist. 7) Consider deploying additional logging integrity verification mechanisms, such as cryptographic signing or checksums, to detect tampering. These steps go beyond generic advice by focusing on access control, monitoring, and proactive detection tailored to the nature of this vulnerability.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- certcc
- Date Reserved
- 2025-11-10T18:57:32.141Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6929e1b04121026312bb42fd
Added to database: 11/28/2025, 5:53:52 PM
Last enriched: 1/7/2026, 7:45:23 PM
Last updated: 1/13/2026, 9:11:44 AM
Views: 86
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