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“Orca”
x.comtool🧠 AI

Zyon ⚗️ (@zyonbuilds) on X

Orca is an open-source (MIT) desktop app from stablyai for running a fleet of coding agents, including Claude Code, Codex and OpenCode, each in its own git worktree using the user's own subscriptions. Features include fanning one prompt across five agents and merging the winner, commenting on diffs and sending them back, SSH worktrees on remote machines, and a phone app for steering agents. The post reports 103k stars.

Claude CodeCodexOpenCode+3
Orcastablyai

coding-agents, agents· Added 30 Oct 2026, published 29 Oct 2026

huggingface.coarticle🧠 AI

Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready

Project ProtoStar is an initiative by Carnegie Mellon, Purdue, Georgia Tech, Arizona State, George Washington University, Astera Institute, ORCA and Hugging Face to release publicly funded science datasets, models and code in AI-ready formats. Hugging Face reports over 17,000 public science datasets and tripled sharing in 2026. The first challenge, run by CMU from 2 to 13 November 2026, asks teams to forecast climate indicators for 210 US cities.

Hugging Face
Project ProtoStarCarnegie Mellon UniversityPurdue University+15

ai-policy, training, evals· Published and added 29 Oct 2026

orca.securityadvisory🛡️ Security

Node.js Brotli Decoder Out-of-Bounds Write Threatens Remote Code Execution Across All Supported Versions

CVE-2026-111497 is a high-severity out-of-bounds write in the Node.js Brotli decoder, reported by Orca Security. It affects all supported release lines (22.x, 24.x, 26.x) and can be triggered by malformed Brotli data processed through node:zlib or fetch(). Impacts named are crashes, memory disclosure and remote code execution in cloud workloads; patching is advised. The fetched text covers only the executive summary.

Node.jsBrotli
CVE-2026-111497

AppSec· Published and added 27 Oct 2026

x.comtool🧠 AI

Mauro Ubeda (@mauroubeda) on X

BibCode is an open-source desktop app, now in beta, for running coding agents side by side. It is built with Rust and Tauri rather than Electron, and runs Codex, Claude, Cursor and OpenCode, each in its own git worktree. It can also connect to remote BibCode Servers. The author, Mauro Ubeda, says it mixes ideas from T3 Code and Orca. The post gives no feature detail beyond this.

RustTauriGit+4
BibCodeMauro UbedaT3 Code+1

coding-agents, agents· Added 28 Oct 2026, published 27 Oct 2026

orca.securitywriteup🛡️ Security

PHP2Shell: From the attacker’s perspective

PHP2Shell is the public exploit for CVE-2026-109618 (corrupted internal state at the memory limit, allowing hijack during cleanup) and CVE-2026-109619 (double free used to leak memory and defeat ASLR). Orca ran the GitHub tool unchanged against an unpatched PHP server and got command execution. It then built its own exploit with AI from the patch, which worked on PHP 8.4.26 and WordPress. Fixed in 8.2.35, 8.3.36, 8.4.27 and 8.5.12.

PHPWordPressGitHub
CVE-2026-109618CVE-2026-109619PHP2Shell+3

Offensive Security, AI Security, AppSec· Published and added 26 Oct 2026

orca.securityarticle🛡️ Security

PHP2Shell: What This Week Tells Us About the Web We Built

PHP2Shell is the name for two unauthenticated remote code execution flaws, CVE-2026-109618 and CVE-2026-109619 (CVSS v4 9.2), in the PHP engine back to version 5.4. The post covers the leaked October 2026 embargo, AI-assisted exploit building by Calif and others, patch availability by PHP version, and a 72-hour and quarterly response plan covering inventory, patching, secret rotation and edge virtual patching. It ends with a short Orca product section.

PHPWordPressOrca Security
CVE-2026-109618CVE-2026-109619PHP2Shell+6

Blue Team & Detection, AppSec, GRC· Published and added 23 Oct 2026

orca.securityarticle🛡️ Security

Frontier-Level Red-Teaming From a Self-Hostable Open-Weight Model: Testing NVIDIA Nemotron 3.5 Super

Orca Security's research team built an internal prototype, Agent Piercer, that attacks AI agents by choosing probes, writing attacks and judging whether they worked. They compared NVIDIA Nemotron 3.5 Super (self-hosted on 4×L40S via SageMaker) with Opus 4.8, GPT-6 Astra and Grok 4.7 as the driving model against the same live target. Nemotron matched the frontier models on vulnerability types found (four) and was the only one to complete every simple test and judge all 57 real attack conversations. The post also notes that some proprietary models declined authorized red-team tasks under default safety settings, which makes self-hosted open-weight models attractive for offensive testing.

NVIDIA Nemotron 3.5 SuperGPT-6 AstraGrok+2
Agent PiercerOpus 4.8prompt injection

AI Security, Offensive Security· Published and added 15 Oct 2026

orca.securityadvisory🛡️ Security

Critical GitLab RCE Lets Unauthenticated Attackers Execute Code on Servers (CVE-2026-97229)

Orca Security analysis of CVE-2026-97229, a CVSS 10.0 flaw in GitLab CE/EE. An integer overflow (CWE-190) in the CI/CD regular expression compiler gives memory corruption and code execution as the git user. It is triggered by a crafted regex in .gitlab-ci.yml combined with a UTF-8 repository path, with no authentication needed on instances that allow public project creation or self-registration. Lists affected branches (19.2 before 19.2.8, 19.3 before 19.3.5, 19.4 before 19.4.2), the absence of a workaround, interim mitigations, and a Rapid7 PoC against GitLab CE 19.4.1 with ASLR on. Notes a prior max-severity GitLab bug (CVE-2026-85706) was probed in the wild within hours and later added to CISA KEV.

GitLab
CVE-2026-97229CVE-2026-85706CWE-190+2

AppSec, DevSecOps· Published and added 14 Oct 2026

x.comthread🧠 AI

Igor Carron (@IgorCarron) on X

Igor Carron's tweet highlights LightOn's open-source ColGrep-Agent-2B, a 2B model released on Hugging Face for code search and retrieval that works with Claude Code. LightOn reports 34% fewer API tokens and 40% lower API costs. It matters because usage limits and token costs are a pain point for coding agents. A reply thread in the same post notes quota exhaustion across Grok, Cursor, Devin, Claude and Codex, and argues for quota dashboards.

Claude CodeHugging FaceCodex+3
LightOnColGrep-Agent-2BIgor Carron+1

coding-agents, models, llm-apps· Published and added 12 Oct 2026

arxiv.orgpaper🛡️ Security

ORCAGen: Orchestrating Context-Aware Malware Deception with RAG-Guided Generative AI

ORCAGen uses RAG over a curated knowledge base of malware procedures and active-defense strategies, plus structured prompting, to have LLMs generate proof-of-concept malware and matching deception orchestration code offline. Strategies are validated against the PoC malware before being added to a runtime playbook that enforces only the verified, deterministic logic. It is evaluated on GPT-4o, GPT-5.5, Gemini 3.5 Flash, Qwen3-Coder and Claude Sonnet 4.5 over synthesized scenarios and 150 real keylogger, infostealer and ransomware samples, measuring execution success, hallucination rate, refinement effort, deception effectiveness and runtime overhead.

LLMGPT-5.5Gemini+2
ORCAGenClaude Sonnet 4.5Gemini 3.5 Flash+1

AI Security, Blue Team & Detection· Added 9 Oct 2026, published 8 Oct 2026

orca.securityarticle🛡️ Security

Malicious npm Campaign “MALFEX” Delivers RAT and Stealer via Eight Packages with 40,000+ Downloads

Orca Security details "MALFEX," a supply-chain campaign active since August 2023 in which a suspected lone Brazilian threat actor published eight malicious npm packages (tlxbnhd, tldriver, mxdriver, img-to-native, native-runner, function-flag, function-color, cdn-img-fetch) that together drew over 40,767 downloads. Using postinstall lifecycle hooks, the packages deliver three malware families to Windows hosts: the Go-based Overlord RAT (with a Solana blockchain C2 resolver), the Node.js "movinlike" credential/Discord/crypto-wallet stealer, and rotating downloader payloads — with three packages (notably function-flag) still live on npm and only six of the eight carrying OSV advisories at publication time. The piece includes host IOCs (file paths, scheduled task name), affected package lists, and remediation steps (lockfile auditing, credential rotation) alongside a pitch for Orca's SCA detection of the OSV-flagged packages.

npmNode.jsWindows+5
MALFEXOverlord RATmovinlike Stealer+10

Supply Chain, Threat Intel· Published and added 8 Oct 2026

orca.securityadvisory🛡️ Security

Critical Atlassian Path Traversal Exposes Sensitive Files Across 8 Products

Orca Security details CVE-2026-21589 (CVSS 9.3), a critical unauthenticated path traversal flaw affecting all versions of eight Atlassian Data Center and Server products: Bitbucket, Confluence, Jira Software, Jira Service Management, Bamboo, Crowd, Crucible, and Fisheye. Insufficient path validation lets remote attackers read arbitrary files within the web application root without authentication, and in Crowd SSO deployments this can expose plaintext credentials usable to create administrative accounts and take over the entire Atlassian ecosystem. The advisory lists fixed versions for each product and recommends WAF rules and log review for organizations unable to patch immediately.

JiraConfluenceBitbucket+3
CVE-2026-21589path traversal

AppSec, Identity & Access· Published and added 7 Oct 2026

orca.securityarticle🛡️ Security

Connect Orca’s ChatGPT Plugin: Cloud Risk Context in Chat and Codex

Orca Security's plugin connects ChatGPT and Codex to Orca's MCP server, letting security teams and developers query cloud alerts, attack paths, effective IAM permissions, and code-to-cloud origins directly from chat or a coding agent instead of logging into a console. The post walks through six security-team use cases (exposure discovery, CVE impact triage, alert-to-blast-radius investigation, identity permission review, CISO reporting) and three developer workflows in Codex where alerts are traced back to the Terraform/code that created the misconfiguration and fixed in place.

Model Context ProtocolOrca SecurityChatGPT+3
CVE-2025-55182

Cloud & Infra· Added 2 Oct 2026, published 30 Sep 2026

orca.securityarticle🛡️ Security

npm Supply-Chain Attack Abuses Trusted Publishing to Ship GHAPPIER Loader

Orca Security details a supply-chain attack on the npm package @dforge-core/dforge-mcp, where a compromised maintainer account modified the GitHub Actions release workflow so any push to main triggered an OIDC-based trusted publish, shipping malicious version 0.2.21 with valid Sigstore provenance. The four-stage GHAPPIER loader activated only when the MCP server launched, deployed a self-deleting remote shell, and per CloudSEK's tracing appeared across 65 repos and 22 accounts; a second payload matched PolinRider, a DPRK-linked campaign using Ethereum transactions for C2. The piece underscores that npm provenance attests build origin, not source integrity, and lists remediation steps since no CVE or advisory yet exists.

npmGitHub ActionsOIDC+3
GHAPPIERPolinRiderDPRK+2

Supply Chain, Threat Intel· Published and added 22 Sep 2026

orca.securityarticle🛡️ Security

Attack Surface Explained: Types & Reduction Tips

A long-form explainer distinguishing attack surface from attack vector and asset inventory, breaking the surface into network/perimeter, identity/permissions, application/code, and data/storage components, and covering how to map it via the OWASP Attack Surface Analysis Cheat Sheet, measure it (Relative Attack Surface Quotient, Carnegie Mellon's attack surface metric), and reduce it. It also contrasts external attack surface management with cyber asset attack surface management and closes with a pitch for Orca's agentless SideScanning and Unified Data Model.

AWSOrca Security
NIST SP 800-160OWASP Attack Surface Analysis Cheat SheetRelative Attack Surface Quotient+3

Cloud & Infra, Learning· Published and added 21 Sep 2026

orca.securityarticle🛡️ Security

Incident Automation: Benefits, Tools & Best Practices

Orca Security guide distinguishing alerts, incident records, and actions in incident response automation, mapping a cloud storage-bucket-exposure incident through detection, declaration, enrichment, routing/paging, and suppression steps. Draws on AWS Well-Architected event/incident/problem management guidance, ISO/IEC 27035-3:2020 lifecycle, CISA containment guidance, and Azure alert processing rules to argue automation should be introduced step-by-step based on reversibility rather than as one switch.

AWSAzureOrca Security+1
AWS Well-Architected FrameworkISO/IEC 27035-3:2020CISA

Blue Team & Detection, Cloud & Infra· Published and added 9 Sep 2026

orca.securityarticle🛡️ Security

Orca Security: SOC Automation

A conceptual deep-dive into SOC automation structured as a five-stage pipeline (trigger, enrichment, decision, action, feedback), arguing that enrichment quality — not action count — determines outcomes, and that reversibility should set the bar for what runs unattended. It cites concrete platform behaviors (AWS Security Hub rule-ordering, Microsoft Sentinel's 2-minute playbook timeout) and NIST SP 800-61r3's CSF 2.0 incident-response guidance, then covers AI-driven SOC automation where model outputs serve as triggers/enrichment rather than approvals, before pitching Orca's context layer for SIEM/SOAR integrations.

Orca SecurityAWSMicrosoft Sentinel
NIST SP 800-61r3CSF 2.0

Blue Team & Detection, AI Security· Published and added 14 Aug 2026

orca.securityarticle🛡️ Security

Orca Security: AI Agents Security

Orca Security lays out a framework for securing AI agents as distinct security objects, arguing an agent's permission set can't be read off its code because it picks tools at runtime, unlike a fixed service account. It details identity-layer fixes from major providers — Microsoft Entra ID's blueprint/service-principal split, Google Cloud's per-agent SPIFFE/X.509 identity with 24-hour certs, and AWS Bedrock AgentCore's token-exchange delegation via RFC 8693 — plus OWASP's AI Agent Security Cheat Sheet practices (tool least privilege, memory isolation, approval gating, attribution logging) and EU AI Act Article 12 logging obligations for high-risk systems.

Microsoft Entra IDAWS BedrockGoogle Cloud+2
RFC 8693OWASP AI Agent Security Cheat SheetOWASP Non-Human Identities Top 10+2

AI Security, Identity & Access· Published and added 14 Aug 2026

orca.securityarticle🛡️ Security

Orca Security: Agentic AI Security

Orca Security's guide to agentic AI security distinguishes it from AI-agent security by framing the unit of risk as the whole autonomous plan/sequence rather than a single agent, and walks through OWASP's Agentic Security Initiative Threats and Mitigations taxonomy (17 threats, T1-T17, v1.1) alongside CSA's MAESTRO layered framework. It details run-level controls (action-class approval thresholds, blast-radius caps, step/time/cost budgets, kill switches, egress boundaries, replayable audit logs) and identity/delegation concerns (RFC 8693 token exchange, orchestrator trust boundaries, permission inheritance across agent chains), then describes how Orca's agentless posture management maps AI services, keys, and data reachable by agentic workflows in the cloud.

Orca SecurityOpen Policy Agent
OWASP Agentic Security InitiativeMAESTROGoogle DeepMind AI Control Roadmap+4

AI Security, Identity & Access· Published and added 14 Aug 2026

orca.securityarticle🛡️ Security

Orca Security: Shadow AI Governance

Explains how to run a shadow AI governance program: a three-question scoping test (consumption vs production, standalone vs embedded, human vs agent-initiated), and how shadow AI differs from shadow IT because a prompt cannot be retracted. It lays out inventory record fields, a four-outcome disposition model (sanction, sanction with conditions, restrict, block) with an SLA, five default-changing controls, and a seven-item policy mapped to ISO/IEC 42001 and the CSA AI Controls Matrix. It cites Microsoft's preview shadow AI detection (seven agents, blocking for one, Intune-managed Windows only) and ends with how Orca's agentless AI-SPM covers the cloud-hosted part.

Orca SecurityModel Context ProtocolOAuth+3
shadow AIISO/IEC 42001CSA AI Controls Matrix+3

GRC, AI Security· Published and added 13 Aug 2026

orca.securityadvisory🛡️ Security

Orca Security: Zoom Zero-Click RCE Flaws Allow Any Meeting Attendee to Compromise All Participants

Orca Security details four Zoom vulnerabilities in the cross-platform annotation engine (libannotate.so): CVE-2026-53413, a stack buffer overflow in CAnnoFormatBlock::Deserialize from unchecked 32-bit character counts, and CVE-2026-53415, a use-after-free in auto-shape metadata handling giving a write-what-where primitive, both enabling zero-click RCE against every meeting participant via crafted annotation messages during screen sharing. Also disclosed are CVE-2026-53414 (heap over-read/DoS) and CVE-2026-53416 (path traversal in the Windows VDI client). The write-up notes a working exploit chain built in under 24 hours with fewer than 20 AI-model prompts, platform-specific exploitation details (macOS ARM64 ASLR bypass, Android heap spraying/vtable corruption), and that E2EE meetings bypass Zoom's server-side message filtering.

Orca SecurityAndroidmacOS+2
CVE-2026-53413CVE-2026-53414CVE-2026-53415+1

AppSec, Offensive Security· Published and added 12 Aug 2026

orca.securityarticle🛡️ Security

Orca Security: What Is AI AppGen Security?

Orca Security defines "AI AppGen Security" as governing applications generated and deployed by AI app builders (Replit, Lovable, Base44, Vercel, Supabase) outside normal dev pipelines. It walks through documented insecure defaults — Supabase tables created via SQL editor not getting row-level security enabled automatically, Replit personal workspaces defaulting apps to Public, Vercel production domains staying publicly accessible on the Hobby/Pro plan without paid Advanced Deployment Protection — and cites security researcher Dor Zvi/RedAccess's WIRED-reported finding of 5,000+ exposed vibe-coded apps, ~40% leaking sensitive data and some allowing full admin takeover. It closes with governance recommendations (inventory, ownership, review dates) and a pitch for Orca's discovery capability across AppGen platforms.

Orca SecuritySupabaseReplit+3
RedAccessDor ZviWIRED+3

AI Security, AppSec· Published and added 7 Aug 2026

orca.securityarticle🛡️ Security

Orca Security: AI-BOM

Orca Security explains what an AI-BOM is (an inventory of models, datasets, prompts, embeddings, and external AI services an AI system depends on) and why discovery — not format — is the hard problem: components arrive via notebooks and managed consoles rather than dependency manifests. It surveys the two competing standards, CycloneDX's ML-BOM (v1.7, standardized as ECMA-424 2nd edition) and SPDX 3.0's AI/Dataset profiles, walks through failure modes like unrecoverable model lineage, stale embeddings outliving deleted source documents, and silent version drift on managed endpoints (e.g. Azure OpenAI's auto-update-to-default), and ties the practice to EU AI Act Annex IV technical-documentation requirements and the NIST AI RMF. It ends by describing Orca's agentless SideScanning-based AI inventory across Azure OpenAI, AWS Bedrock, SageMaker, and Vertex AI.

CycloneDXSPDXSBOM+3
EU AI ActNIST AI RMFOWASP AIBOM Generator+2

AI Security, Supply Chain, GRC· Published and added 31 Jul 2026

orca.securityarticle🛡️ Security

Orca Security: Incident Response Tools

A vendor buyer's guide from Orca Security that breaks incident response tooling into four distinct jobs (evidence/forensics, case management, telemetry/detection, automation) and compares twelve commercial platforms across them: Magnet Axiom Cyber, Exterro FTK Enterprise, Binalyze AIR, Cortex XSOAR, IBM QRadar SOAR, Swimlane, Microsoft Sentinel, Splunk Enterprise Security, Google Security Operations, Torq, Tines, and Rapid7 InsightConnect. It frames evaluation against NIST SP 800-61 Revision 3 (April 2025), covers M&A shifts affecting the category (Darktrace/Cado Security, OpenText/EnCase, Palo Alto/IBM QRadar SaaS EOL), and closes by positioning Orca's agentless cloud context (SideScanning, Unified Data Model) as complementary to these tools rather than a replacement.

Cortex XSOARMicrosoft SentinelSplunk+3
NIST SP 800-61 Revision 3CSF 2.0FIRST CSIRT Services Framework

Blue Team & Detection· Published and added 31 Jul 2026

orca.securityarticle🛡️ Security

Orca Security: Cloud Identity & Entitlement Management Series

Orca Security explainer on entitlement sprawl (a.k.a. privilege creep) in cloud environments: the gradual accumulation of unused permissions across human and non-human identities, driven largely by machine identities (service accounts, roles, keys) that outnumber human users by over 80-to-1 per CyberArk's 2025 report. It distinguishes granted vs. effective permissions, explains why static IAM exports miss real risk, walks through detection via AWS IAM Access Analyzer, Azure Entra Permissions Management, and GCP IAM Recommender, and lays out controls (least privilege, JIT access, continuous automated reviews, RBAC/ABAC, NHI governance, zero trust) before positioning Orca's agentless CIEM (SideScanning) as the automation layer.

AWS IAMAzureGoogle Cloud+1
PCI DSSSOC 2

Cloud & Infra, Identity & Access· Published and added 31 Jul 2026

orca.securityarticle🛡️ Security

Orca Security: AI Threat Detection

Orca Security explainer arguing AI threat detection is not one capability but four distinct techniques — anomaly detection, behavioral/entity baselining, supervised classification, and an agentic triage layer — each with a documented failure mode (baseline poisoning during an active intrusion, cold-start on ephemeral cloud workloads, classifiers blind to novel classes, and LLM agents confidently narrating false positives). It walks the telemetry-to-baseline-to-alert pipeline (citing AWS GuardDuty's Discovery:IAMUser/AnomalousBehavior finding and Microsoft Entra ID Protection's atypical-travel baseline), argues detection quality tracks telemetry completeness rather than model sophistication, and closes by mapping the framework to Orca's Unified Data Model and Threat Investigation Agent.

Orca SecurityMITRE ATT&CKMicrosoft Entra ID+2

AI Security, Blue Team & Detection, Cloud & Infra· Published and added 30 Jul 2026

orca.securityadvisory🛡️ Security

Orca Security: Critical Ubuntu Pro Client Vulnerability Enables Root Code Execution Across Cloud Workloads

Orca Security discloses CVE-2026-11386, a critical vulnerability in the Ubuntu Pro Client that reportedly allows root code execution on affected cloud instances. The fetched page content was empty, so this assessment is based on the title/URL alone; specifics on the vulnerable component, attack vector, and exploitation path are not confirmed here.

UbuntuLinux
CVE-2026-11386

Cloud & Infra· Published and added 20 Jul 2026

orca.securityadvisory🛡️ Security

Orca Security: Critical Heap Buffer Overflow in NGINX Allows Unauthenticated RCE

Covers CVE-2026-42533, a heap buffer overflow (CWE-122) in the NGINX map directive's regex handling. It is triggered when a string expression references unnamed captures before the map output variable. Unauthenticated crafted HTTP requests can crash workers and may give RCE where ASLR is off or bypassed. It also covers two other F5-patched NGINX flaws: CVE-2026-60005 (uninitialized memory disclosure in ngx_http_slice_module) and CVE-2026-56434 (use-after-free in ngx_http_ssi_module with proxy_pass and proxy_buffering off). It lists affected NGINX Open Source (0.9.6–1.31.2), NGINX Plus, Ingress Controller, Gateway Fabric, App Protect WAF and Instance Manager versions. It gives fixed releases (1.31.3 / 1.30.4) and the named-capture workaround, and notes no public PoC or in-the-wild exploitation.

nginxNGINX PlusKubernetes
CVE-2026-42533CVE-2026-60005CVE-2026-56434+2

Cloud & Infra· Published and added 20 Jul 2026

thehackernews.comarticle🛡️ Security

AI Security Briefing

Noma Security researchers disclosed "GitLost," a technique where a public GitHub issue containing indirect prompt-injection text tricks a GitHub Agentic Workflow (powered by Copilot, Claude, Gemini, or Codex) with org-wide read access into pasting private repository contents into a public issue comment. The attacker needs no credentials or org access; a routine issue-triggered workflow and a broad read-scoped token do the work, and Noma found that simply prefixing the injected instruction with "Additionally" bypassed GitHub's built-in threat-detection filter. The piece ties GitLost to the "lethal trifecta" (private data access + untrusted input + exfiltration channel) and to prior related disclosures (Claude Code GitHub Action flaw, Orca Security's RoguePilot, Invariant Labs' MCP finding, the "Comment and Control" study), recommending per-repo token scoping, restricted safe-outputs, and human review as mitigations.

GitHubGitHub CopilotClaude Code+2
GitLostNoma SecuritySasi Levi+5

AI Security· Published and added 18 Jul 2026

orca.securityadvisory🛡️ Security

Orca Security: Maximum-Severity Adobe ColdFusion RCE

Orca Security writeup covering CVE-2026-48282, a maximum-severity remote code execution vulnerability in Adobe ColdFusion. The page content could not be retrieved, so technical details (root cause, exploitation vector, affected versions) are unconfirmed beyond the title.

Adobe ColdFusionOrca Security
CVE-2026-48282

AppSec· Published and added 15 Jul 2026

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