6.5 CVE-2025-27017

Enriched by CISA
 

Apache NiFi 1.13.0 through 2.2.0 includes the username and password used to authenticate with MongoDB in the NiFi provenance events that MongoDB components generate during processing. An authorized user with read access to the provenance events of those processors may see the credentials information. Upgrading to Apache NiFi 2.3.0 is the recommended mitigation, which removes the credentials from provenance event records.
https://nvd.nist.gov/vuln/detail/CVE-2025-27017

Categories

CWE-538 : Insertion of Sensitive Information into Externally-Accessible File or Directory
The product places sensitive information into files or directories that are accessible to actors who are allowed to have access to the files, but not to the sensitive information. Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.) Do not expose file and directory information to the user. SSH password for private key stored in build log

References

af854a3a-2127-422b-91ae-364da2661108

security@apache.org


 

AFFECTED (from MITRE)


Vendor Product Versions
Apache Software Foundation Apache NiFi
  • 1.13.0 ≤ 2.2.0 [affected]
© 2022 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

CPE

cpe start end
Configuration 1
cpe:2.3:a:apache:nifi:*:*:*:*:*:*:*:* >= 1.13.0 < 2.3.0


REMEDIATION




EXPLOITS


Exploit-db.com

id description date
No known exploits

POC Github

Url
No known exploits

Other Nist (github, ...)

Url
No known exploits


CAPEC


Common Attack Pattern Enumerations and Classifications

id description severity
95 WSDL Scanning
High