In　recent　years,　the　occurrence　of　cascading　failures　and　blackouts　arising　from　cyber　intrusions　in　the　underlying　configuration　of　power　systems　has　increasingly　highlighted　the　need　for　effective　power　management　that　is　able　to　handle　this　issue　properly.　Moreover,　the　growing　use　of　renewable　energy　resources　demonstrates　their　irrefutable　comparative　usefulness　in　various　areas　of　the　grid,　especially　during　cascading　failures.　This　paper　aims　to　first　identify　and　eventually　protect　the　vulnerable　areas　of　these　systems　by　developing　a　hybrid　structure-based　microgrid　against　malicious　cyber-attacks.　First,　a　well-set　model　of　system　vulnerability　indices　is　presented　to　indicate　the　generation　unit　to　which　the　lines　or　buses　are　directly　related.　Indeed,　we　want　to　understand　what　percentage　of　the　grid　equipment,　such　as　the　lines,　buses,　and　generators,　are　vulnerable　to　the　outage　of　lines　or　generators　arising　from　cyber-attacks.　This　can　help　us　make　timely　decisions　to　deal　with　the　reduction　of　the　vulnerability　indices　in　the　best　way　possible.　The　fact　is　that　employing　sundry　renewable　resources　in　efficient　areas　of　the　grid　can　remarkably　improve　system　vulnerability　mitigation　effectiveness.　In　this　regard,　this　paper　proposes　an　outstanding　hybrid-energy　framework　of　AC/DC　microgrids　made　up　of　photovoltaic　units,　wind　turbine　units,　tidal　turbine　units,　and　hydrogen-based　fuel　cell　resources,　all　of　which　are　in　grid-connect　mode　via　the　main　grid,　with　the　aim　to　reduce　the　percentage　of　the　system　that　is　vulnerable.　To　clearly　demonstrate　the　proposed　solution＇s　effectiveness　and　ease　of　use　in　the　framework,　a　cyber-attack　of　the　false　data　injection　(FDI)　type　is　modeled　and　developed　on　the　studied　system　to　corrupt　information　(for　instance,　via　settings　on　protective　devices),　leading　to　cascading　failures　or　large-scale　blackouts.　Another　key　factor　that　can　have　a　profound　impact　on　the　unerring　vulnerability　analysis　concerns　the　uncertainty　parameters　that　are　modeled　by　the　unscented　transform　(UT)　in　this　study.　From　the　results,　it　can　be　inferred　that　vulnerability　percentage　mitigation　can　be　achieved　by　the　proposed　hybrid　energy　framework　based　on　its　effectiveness　in　the　system　against　the　modeled　cyber-attacks.