CISA Alert AA22-138A – Threat Actors Exploiting F5 BIG-IP CVE-2022-1388. [CISA Cybersecurity Alerts]
CISA and the Multi-State Information Sharing & Analysis Center (MS-ISAC), are releasing this joint Cybersecurity Advisory in response to active exploitation of CVE-2022-1388. This vulnerability is a critical iControl REST authentication bypass vulnerability affecting multiple versions of F5 Networks BIG-IP.
AA22-138A Alert, Technical Details, and Mitigations
F5 Security Advisory K23605346 and indicators of compromise
F5 guidance K11438344 for remediating a compromise
Emerging Threats suricata signatures
Palo Alto Networks Unit 42 Threat Brief: CVE-2022-1388. This brief includes indicators of compromise.
Cisco Talos Intelligence Group - Comprehensive Threat Intelligence: Threat Advisory: Critical F5 BIG-IP Vulnerability. This blog includes indicators of compromise. Note: due to the urgency to share this information, CISA and MS-ISAC have not yet validated this content.
Randori’s bash script. This script can be used to identify vulnerable instances of BIG-IP. Note: MS-ISAC has verified this bash script identifies vulnerable instances of BIG-IP.
All organizations should report incidents and anomalous activity to CISA’s 24/7 Operations Center at central@cisa.dhs.gov or (888) 282-0870 and to the FBI via your local FBI field office or the FBI’s 24/7 CyWatch at (855) 292-3937 or CyWatch@fbi.gov.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.