CVE-2022-25420
Published: 29 March 2022
Summary
CVE-2022-25420 is a critical-severity Injection (CWE-74) vulnerability in Nttr Goo Blog. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 9.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
NTT Resonant Incorporated goo blog App Web Application version 1.0 contains a CRLF injection vulnerability tracked as CVE-2022-25420. The flaw is classified under CWE-74 and carries a CVSS 3.1 base score of 9.8, reflecting network attack vector, low complexity, and no required privileges or user interaction, resulting in full compromise of confidentiality, integrity, and availability.
Unauthenticated remote attackers can exploit the issue by sending a crafted HTTP request that injects arbitrary CRLF sequences, enabling execution of attacker-controlled code on the affected web application. Successful exploitation grants the ability to manipulate response headers or inject content that leads to further compromise of the application and underlying host.
Public references consist of a GitHub repository that documents the vulnerability and provides reproduction details, though no vendor advisory, patch information, or official mitigation guidance is included in the available sources. The associated EPSS score has remained flat at 0.0531 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-30090
Vulnerability details
NTT Resonant Incorporated goo blog App Web Application 1.0 is vulnerable to CLRF injection. This vulnerability allows attackers to execute arbitrary code via a crafted HTTP request.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.