Multiple attackers are exploiting three JFrog Artifactory CVEs, including critical auth-bypass CVE-2026-82329, to gain admin access and install backdoors.
Wiz confirmed in-the-wild exploitation of all three JFrog Artifactory vulnerabilities: CVE-2026-42018 (high, improper authentication token leak), CVE-2026-42016 (high, privilege escalation), and CVE-2026-82329 (critical, unauthenticated authentication bypass). Starting August 15, attackers chained the first two bugs against self-hosted instances to gain admin access and dropped a custom Rust backdoor for C2; from September 1-8 several attackers exploited CVE-2026-82329. Post-exploitation included persistent admin accounts, Groovy plugins for remote code execution, web shells, token minting, key theft, and reconnaissance. Patching velocity has been slow, with 49-62% of organizations still vulnerable to individual bugs weeks after fixes were released.
Attackers chain JFrog Artifactory flaws CVE-2026-42018 and CVE-2026-42016 to gain admin tokens and deploy a Rust backdoor on self-hosted servers.
Wiz observed multiple threat actors chaining CVE-2026-42018 and CVE-2026-42016 against self-hosted JFrog Artifactory instances between August 15 and September 8, 2026, in some cases obtaining admin access in under five minutes. The critical authentication bypass CVE-2026-82329 was also exploited this month to mint administrator tokens. Attackers installed malicious Groovy plugins, dropped a Rust backdoor with C2 capabilities, uploaded webshells, stole configuration data and cluster join keys, and added SSH keys to new accounts. Wiz estimates 49-62% of internet-reachable Artifactory instances are vulnerable to at least one of the three flaws, and patched releases from 7.111.21 through 7.161.20 are available.
Wiz observed active exploitation of three JFrog Artifactory flaws used to mint admin tokens, deploy malicious plugins, and install Rust backdoors on self-hosted servers.
JFrog Artifactory flaws CVE-2026-42016, CVE-2026-42018, and CVE-2026-82329 are being actively exploited against self-hosted instances, enabling token exposure, token scope abuse, and a critical default-configuration authentication bypass. Wiz observed attackers chaining CVE-2026-42018 and CVE-2026-42016 from August 15 to September 8, 2026, creating persistent administrator accounts in under five minutes, deploying malicious Groovy plugins, and installing Rust-based backdoors. At disclosure, 67-69 percent of Wiz-monitored organizations ran vulnerable instances; fixed releases include 7.111.21, 7.117.28, 7.125.20, 7.133.29, 7.146.38, and 7.161.20 or later depending on branch.
Editorial scorecard ranks 2026 cloud workload protection platforms, placing Prisma Cloud first, Sysdig second, and CrowdStrike third on detection quality.
A research-based scorecard rates ten cloud workload protection (CWPP) platforms across runtime depth, container/Kubernetes support, coverage breadth, cloud context, and value. Palo Alto Prisma Cloud leads at 8.9, followed by Sysdig at 8.8 and CrowdStrike at 8.6, with Aqua Security tying CrowdStrike at 8.6. The piece argues agent-versus-agentless is a false choice, with leaders now pairing agentless visibility with eBPF-based runtime sensors. Scores are editorial assessments, not lab benchmarks.
2026 CSPM comparison ranks Wiz atop cloud posture tools and recaps Google's pending roughly $32 billion acquisition of Wiz.
An editorial guide rates ten cloud security posture management (CSPM) tools, with Wiz ranked first for agentless visibility and attack-path context, Microsoft Defender for Cloud highlighted for Azure-centric economics, and Palo Alto Prisma Cloud noted for the broadest code-to-cloud module set. The article's biggest market note is Google's agreement to acquire Wiz for approximately $32 billion, described as the largest deal in security history, still progressing through regulatory review. It advises buyers to include roadmap-protection language in multi-year commitments and to press on multicloud neutrality post-close.
Wiz found multiple LiteLLM AI gateway flaws, including a CVE-2026-59822 MCP auth bypass added to CISA KEV, enabling root code execution and cloud credential theft.
An internet scan of 3,074 exposed LiteLLM instances found 294 (9.6%) accepting the default sk-1234 master key and 191 (6.2%) requiring no authentication. CVE-2026-59822 lets a single-character Bearer token establish a valid MCP session via an OAuth2 fallback in versions before 1.84.0; the flaw is in CISA's Known Exploited Vulnerabilities catalog. CVE-2026-59821 allows Python code execution as root in the gateway container via unsanitized Custom Code Guardrails registration before 1.82.0-stable, and CVE-2026-35029 permits config changes leading to RCE and admin takeover. Admin access plus pass-through endpoints can reach cloud metadata services to steal IAM credentials.
Wiz for Gov achieved GovRAMP High authorization, validating NIST SP 800-53r5 controls for state, local government, and higher-education cloud security procurement.
Wiz announced that Wiz for U.S. Government has officially achieved GovRAMP High authorization, validating it against NIST SP 800-53r5 security controls required for highly sensitive state data and critical infrastructure. The 'verify once, serve many' designation is aimed at state, local government, and higher education procurement. Wiz positions its CNAPP as providing code-to-runtime visibility, risk prioritization, compliance automation, and AI pipeline security. Existing Wiz for Gov customers automatically inherit the high-baseline controls without migration.
Wiz found 294 of 3,074 internet-facing LiteLLM gateways accepted the documented default admin key sk-1234, exposing provider API keys and cloud IAM credentials.
Wiz Research's February Shodan scan found 3,074 LiteLLM gateways, 294 of which accepted the setup guide's sk-1234 admin key; 191 had no master key set and would accept any credential. The master key doubles as the authentication switch, and before 1.82.0-stable a gateway started without one granted every request full admin rights, exposing stored provider API keys, prompts, and MCP-connected tools. A documented pass-through endpoint lacks checks against private and cloud metadata addresses, letting an admin-key holder retrieve cloud IAM credentials, though no real-world abuse is reported. Related LiteLLM flaws include CVE-2026-59821 (disputed guardrail code execution), CVE-2026-59822 (CVSS 8.8, added to CISA KEV on September 2 and observed against Wiz honeypots), and CVE-2026-42271, used to install a cryptominer.
CISA added seven actively exploited vulnerabilities to its KEV catalog, including SonicWall SMA 1000 SSRF CVE-2026-83548, amid campaigns deploying reverse shells and crypto miners.
CISA's KEV additions cover flaws in SonicWall SMA 1000 (CVE-2026-83548, CVE-2026-83549), Sangoma Switchvox (CVE-2026-9586), JFrog Artifactory (CVE-2026-82329), Kludex Starlette (CVE-2026-48710), Kestra OSS (CVE-2026-49869) and Berri LiteLLM's MCP endpoint (CVE-2026-59822). SonicWall confirmed active exploitation of the SMA 1000 flaws, while Microsoft and Wiz reported attackers chaining LiteLLM flaws CVE-2026-42271 and CVE-2026-48710 to fingerprint hosts, steal provider API keys and deploy XMRig miners on AI infrastructure. Wiz linked exploitation of the LiteLLM chain to the Qilin ransomware group, and Microsoft detailed a Kestra compromise chain ending in cryptocurrency mining and data harvesting via exposed RAGFlow flaws.
Wiz argues shift-left code-stage security cuts remediation costs and ships Wiz Code, WizOS, and WizCLI to catch flaws pre-deployment.
A Wiz blog post argues that fixing vulnerabilities at the code stage costs a fraction of production remediation, citing the node:20-slim base image which ships 14 known CVEs, three of them critical. It claims AI agents can now analyze open-source commits and generate working exploits in minutes, shrinking the window between a public fix and automated attacks. The post promotes WizOS near-zero-CVE base images, WizCLI and MCP-server checks inside developer and AI agent sessions, and Wiz Code scanning across pull requests, repositories, and pipelines covering SAST, SCA, secrets, and IaC misconfigurations.
Google DeepMind releases Gemini 3.8 Flash and 3.8 Flash Cyber with improved reasoning, coding, and cybersecurity vulnerability detection and automated patching.
Google DeepMind introduced Gemini 3.8 Flash, its strongest reasoning and coding model, priced at $0.75 per million input and $3.75 per million output tokens, alongside Gemini 3.8 Flash Cyber, a cybersecurity-specialized variant offered to trusted defenders via the Fairwind Program. The Cyber variant shows frontier-level autonomous vulnerability discovery on CyberGym, exceeds 70% success on an internal benchmark spanning 20 programming languages, and scores 47.2% pass@1 on the CWE-Bench patching benchmark. Google reports it produced 2.6x more correct Chrome vulnerability patches than larger commercial models and found a critical foundational bug in under 2 hours.
AI security startup AIR exits stealth with $50M across two seed rounds to continuously vet skills, plugins, and MCP servers used by enterprise AI agents.
AIR, founded by Unit 8200 veterans Yair Saban and Niv Hoffman, raised $10 million led by Sequoia and $40 million led by Greenoaks to secure the emerging AI agent software supply chain. Its platform discovers agents in enterprise environments, intercepts their actions, and continuously vets skills, add-ons, and MCP servers against a maintained whitelist, filtering out about 27% of found add-ons. The company claims over 20 customers, roughly a quarter large enterprises, with strong demand in financial services and pharma, and competes with Noma Security, Zenity, Astrix Security, and Operant AI.
Wiz details the multi-agent pipeline and feedback loops that evolved its bucket scanner into AI-powered data discovery.
Wiz published an engineering write-up on building its AI-powered data discovery capability, tracing the evolution from a bucket scanner to a context engine. The post explains the multi-agent pipeline and feedback loops behind the system. The article is a vendor engineering deep-dive with no disclosed vulnerabilities, incidents, or exploitation activity.
Wiz published a DFIR cheatsheet covering log visibility, incident readiness, and threat hunting across GitHub, GitLab, Bitbucket, and Azure DevOps.
Wiz researchers released a practitioner's guide to version control system forensics, incident response, and threat hunting. The cheatsheet maps log sources, audit capabilities, and hunting workflows across GitHub, GitLab, Bitbucket, and Azure DevOps. It aims to improve incident readiness for source code and CI/CD compromise scenarios.
Wiz sponsors a webinar on building AI-ready security operations, focusing on attack-path visibility, exposure prioritization, and faster detection-to-remediation workflows.
A contributed piece promotes next week's Wiz webinar, How to Build AI Threat Readiness Across Your Security Operations, featuring a Wiz expert. The session covers using unified security context to separate urgent exposures from noise, understand attack paths across cloud, code, identities, SaaS, and AI services, and connect validated risks to remediation owners.
Malicious versions of the Rust crate arrayref executed a compile-time backdoor, with infrastructure overlapping recent DPRK supply chain attacks on Mastra and axios.
Wiz researchers report that malicious versions of the arrayref Rust crate ran a backdoor during compilation, compromising developer build pipelines. The campaign's command-and-control infrastructure significantly overlaps with infrastructure used in recent DPRK supply chain attacks, including campaigns against Mastra and axios. Developers using affected crate versions should audit their builds and review dependencies.
Wiz details how adversaries use realistic device names in Entra ID registrations to evade detection and which behavioral signals still expose them.
Wiz researchers describe how adversaries generate realistic device names during Entra ID device registration instead of leaving recognizable fingerprints from public tooling, making rogue device joins blend into enterprise environments. The post explains how this trend changes Entra ID detection approaches. It also identifies behavioral signals that still expose these attacks. No specific CVE or victim was named.
Wiz's AI agent uncovered a critical flaw in Snowflake's GitHub Actions workflow that GitHub Advanced Security scans had missed.
A Wiz researcher, using the company's AI security agent, discovered a critical security flaw in Snowflake's GitHub Actions workflow. The flaw had been missed by a GitHub Advanced Security scan, highlighting gaps in automated coverage for CI/CD pipelines. No CVE identifier or evidence of active exploitation was provided in the report.
Wiz announces its 2026 Partner Alliance Award winners honoring partners in cloud security, AI risk management, and SOC modernization across three regions.
Wiz recognized partners, integrators, and visionaries with 2026 Partner Alliance Awards spanning the AMER, EMEA, and ANZ regions. The awards highlight work in cloud security transformation, AI risk management, and SOC modernization. The announcement is partner marketing with no direct security impact.
Wiz's autonomous Red Agent found and exploited a GitHub Actions injection in a Copilot-assisted PR, reaching Snowflake's internal Jira without human help.
Wiz's Red Agent autonomously discovered a GitHub Actions injection flaw in a GitHub Copilot-assisted pull request, five days after the flaw went live. It exploited the flaw to validate access to sensitive data in Snowflake's internal Jira, bypassing detection by GitHub Advanced Security, and assessed the blast radius without human intervention. The exercise demonstrates agentic AI performing end-to-end offensive security operations against production systems.
Wiz announces Workflows general availability and public preview of Remediation and Response for closed-loop, automated cloud remediation.
Wiz published a remediation playbook promoting a closed-loop approach to cloud security remediation. The company announced that Wiz Workflows is now generally available, while Remediation and Response capabilities are in public preview. The announcement is a vendor product release aimed at enabling self-healing cloud environments rather than reporting a new threat or vulnerability.
Wiz published guidance arguing AI adoption reshapes data risk, urging teams to identify what data is connected to AI services and exposed.
Wiz published a viewpoint on how AI adoption changes the context of data risk. The post argues that understanding what data is connected to AI systems, what is exposed, and why is now critical for managing that risk. No specific incident, vulnerability, or product release is described in the available text.
Wiz CIRT published an investigation playbook for GitHub PAT compromise after responding to a coordinated multi-organization campaign.
Wiz's Computer Incident Response Team shared lessons from its response to a coordinated campaign compromising GitHub personal access tokens across multiple organizations. The post provides a practical playbook covering detection, scoping, and investigation steps for token compromise. Specific victim names, affected counts, and attribution are not provided in the announcement.
Wiz highlights personal developer repositories as a supply chain blind spot leaking corporate secrets, offering correlation-based risk validation and remediation.
Wiz argues that developers' personal code repositories are a blind spot in software supply chain security where corporate secrets quietly escape. The company describes an approach that correlates personal repositories to specific developers, validates the actual risk, and drives remediation. No specific incident or vulnerability is disclosed in the announcement.
Metabase warns an actively exploited zero-day (CVE-2026-72898, CVSS 10.0) grants unauthenticated admin access; Framework, n8n, and Kilo Code disclosed data exposure.
Metabase disclosed a maximum-severity SQL injection affecting versions x.58 through x.63 that lets unauthenticated attackers inject SQL via the /api/session/reset_password endpoint and gain administrator access to Metabase instances. Metabase Cloud was attacked, patches were released, and CISA added CVE-2026-72898 to the KEV catalog with a federal remediation deadline of August 14, 2026. Downstream victims include Framework (customer names, IPs, addresses, phone numbers, and emails accessed), n8n (136 customer records, five with bcrypt-hashed passwords), and Kilo Code (Slack access tokens). Wiz estimates roughly 13% of cloud environments run self-hosted Metabase, with about 2,500 instances internet-accessible.
Improper Authentication in JFrog Artifactory Allows Unauthenticated Admin Access
JFrog Artifactory contains an improper authentication flaw (CWE-287) that, under the product's default configuration, can let an unauthenticated attacker with network access obtain administrative privileges. The weakness is reachable over the network with no privileges or user interaction required, which is why it carries a critical 9.8 CVSS 3.1 score; an attacker who succeeds effectively gains full administrator control of the artifact repository, and public reporting describes attackers using the flaw to mint admin tokens days after disclosure. Any organization running JFrog Artifactory is in scope — CISA's entry lists the product without version detail, so deployments should verify their versions against JFrog's advisory (AV26-867, Update 1) — with internet-exposed instances at greatest risk. Exploitation is confirmed in the wild: CISA added the CVE to its Known Exploited Vulnerabilities Catalog on 2026-09-02, a public proof-of-concept is available, and news headlines report active exploitation alongside related Artifactory flaws CVE-2026-42016 and CVE-2026-42018.
Unauthenticated MCP Endpoint Authentication Bypass in BerriAI LiteLLM
BerriAI LiteLLM, a widely used self-hosted AI gateway and proxy server for calling LLM APIs, fails to properly authenticate requests to its MCP Streamable HTTP endpoint in versions prior to 1.84.0. An unauthenticated attacker can send a fabricated Authorization header that triggers an OAuth2 passthrough fallback, which replaces failed LiteLLM key validation with an empty UserAPIKeyAuth() object and lets the request reach MCP tooling without any valid LiteLLM key. Successful exploitation grants unauthenticated access to the gateway's MCP tooling with high confidentiality impact per the CVSS 4.0 score of 8.8, and public reporting describes attackers chaining LiteLLM weaknesses from authentication bypass to root code execution and cloud credential theft. Any organization running LiteLLM before 1.84.0 is affected, particularly gateways exposed to the internet. The flaw is confirmed exploited in the wild: CISA added it to the Known Exploited Vulnerabilities catalog on 2026-09-02, while EPSS currently estimates a 0.9% probability of exploitation in the next 30 days.
· BerriAI LiteLLM all versions prior to 1.84.0 (fixed in 1.84.0) KEVmoderate
Token Scope Validation Flaw Enables Privilege Escalation in JFrog Artifactory
JFrog Artifactory (Self-Hosted) versions before 7.133.11 fail to validate a token's scope, checking only the token's signature and issuer, which constitutes an incorrect authorization flaw (CWE-863). A remote, authenticated user with low privileges can obtain or present a token whose scope is never verified, bypassing authorization checks and escalating to higher privileges. Successful attackers gain administrative control of the Artifactory instance; in observed attacks this flaw has been chained with CVE-2026-42018 and CVE-2026-82329 to bypass authentication, take admin control, and deploy backdoor malware. Only self-hosted Artifactory deployments are within the stated affected scope. Exploitation is confirmed in the wild and the vulnerability was added to CISA's KEV catalog on 2026-09-11, although no public proof-of-concept code is known.
· JFrog Artifactory (Self-Hosted) All versions before 7.133.11 KEVlarge
Improper Authentication in JFrog Artifactory Exposes Internal Anonymous Tokens
JFrog Artifactory contains an improper authentication flaw (CWE-287) in which the server may return its internal anonymous-user token to an unauthenticated caller, even on instances where anonymous access is disabled. An attacker triggers the issue by sending unauthenticated requests to the affected Artifactory interface over the network; the vector requires no privileges or user interaction and is of low complexity. Successful abuse yields the internal anonymous-user token, which can then be used to reach sensitive resources (such as repositories or artifacts) that should be protected when anonymous access is disabled, with high confidentiality impact but no integrity or availability impact. Any organization running an affected JFrog Artifactory deployment - particularly those relying on disabled anonymous access as a control - is affected, though only instances where the vulnerable endpoint is reachable are actually exposed. Exploitation has been reported in the wild as part of an ongoing Artifactory attack campaign alongside CVE-2026-42016 and CVE-2026-82329, although there is no public PoC and the flaw is not yet in the CISA KEV catalog.
Command Injection in BerriAI LiteLLM AI Gateway Exploited in the Wild
CVE-2026-42271 is a command injection (CWE-77/CWE-78) in BerriAI LiteLLM's proxy server, a widely used AI gateway for calling LLM APIs. Two MCP preview endpoints (POST /mcp-rest/test/connection and POST /mcp-rest/test/tools/list) accept a full stdio server configuration, including command, args, and env fields, and spawn the supplied command as a subprocess on the proxy host; the endpoints are gated only by any valid proxy API key with no role check, so even low-privilege internal-user keys can trigger it. An attacker with any authenticated key gains arbitrary command execution with the privileges of the proxy process, and reporting indicates attackers are chaining the flaw into broader takeover of AI gateway servers, including reverse shells and crypto miners, in some cases via weak or default keys such as the example 'sk-1234' admin key. Any organization running LiteLLM versions 1.74.2 through before 1.83.7, including LiteLLM distributed with Red Hat OpenShift AI, is affected. The flaw was added to CISA's Known Exploited Vulnerabilities catalog on 2026-06-08 and is under active attack, with a very high EPSS of 83.6% for exploitation within 30 days.
· BerriAI LiteLLM (proxy server / AI Gateway) 1.74.2 up to but not including 1.83.7 (fixed in 1.83.7) · Red Hat OpenShift AI KEVmoderate
HTTP Request Smuggling in Kludex Starlette (CVE-2026-48710)
Kludex Starlette prior to version 1.0.1 did not validate the HTTP Host request header before using it to reconstruct request.url, an inconsistency classified as HTTP request/response smuggling (CWE-444). Because routing operates on the raw ASGI scope path while request.url is rebuilt from the unvalidated Host header, an attacker can send a malformed Host header so that request.url.path differs from the path the router actually processed. Any middleware or endpoint that enforces security restrictions based on request.url rather than the raw scope path can then be tricked into approving requests that should have been blocked, bypassing those controls. All Starlette deployments below 1.0.1 are affected, both direct users and downstream products that bundle the library, including Red Hat offerings such as Ansible Automation Platform, OpenShift AI, OpenShift Lightspeed, Satellite, AI Inference Server, Migration Toolkit for Applications, and Enterprise Linux AI. CISA added the flaw to the Known Exploited Vulnerabilities catalog on 2026-09-02, confirming active exploitation; related reporting describes attackers deploying reverse shells and crypto miners, and EPSS ranks it in the 98th percentile with a 36.3% probability of exploitation within 30 days.
· Kludex (Encode) Starlette All versions prior to 1.0.1 · Red Hat AI Inference Server KEV PoC ×3mass
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format.
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. Prior to 1.82.0-stable, LiteLLM's Custom Code Guardrails production create and update paths did not apply the same sandboxing and validation used by the test endpoint, allowing a privileged user with access to create or update guardrails to submit custom Python code that executed in the LiteLLM proxy environment and could expose secrets available to the process. This issue is fixed in version 1.82.0-stable.
Pre-Authentication SSRF in SonicWall SMA1000 Appliance Workplace Interface
CVE-2026-83548 is a critical (CVSS 3.1 score 10.0) server-side request forgery (SSRF) vulnerability in the Workplace interface of SonicWall SMA1000 appliances, caused by an unintended alternate access path (unprotected alternate channel, CWE-441; SSRF, CWE-918). Because it is pre-authentication, any remote unauthenticated attacker who can reach the interface can trigger it and gain unauthorized access to sensitive functionality and perform unauthorized operations. CISA lists all SonicWall SMA1000 appliances as affected, with CPE data naming the SMA 8200v and SMA 6210/7210 firmware; internet-exposed units are at highest risk. The flaw is being actively exploited in the wild: it was added to CISA's Known Exploited Vulnerabilities catalog on 2026-09-02 alongside companion zero-day CVE-2026-83549, which reporting suggests may form an attack chain with this SSRF. Exploitation probability is elevated (EPSS 4.7%, 91st percentile) and no public proof-of-concept is known.
Unauthenticated SQL Injection RCE in Sangoma Switchvox SMB Edition
Sangoma Switchvox SMB Edition 8.3 (build 104997) contains an unauthenticated SQL injection flaw (CWE-89) in its /pa endpoint, where the user-controlled PhoneIP value from XML input is concatenated directly into PostgreSQL queries without sanitization or parameterization. A single crafted request lets a remote, unauthenticated attacker execute arbitrary SQL statements against the backend PostgreSQL database, which can be escalated to remote code execution on the server. Any organization running the affected Switchvox SMB Edition build is exposed, especially appliances reachable from the internet. Exploitation is confirmed in the wild: the flaw was added to CISA's KEV catalog on 2026-09-02, and researchers have observed attackers using it without credentials to deploy reverse shells and cryptocurrency miners.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In versions prior to 0.22.0, the use of an insecure key generation algorithm in the API key and beta (assistant/agent share auth) token generation process allows these tokens to be mutually derivable. Specifically, both tokens are generated using the same `URLSafeTimedSerializer` with predictable inputs, enabling an unauthorized user who obtains the shared assistant/agent URL to derive the personal API key. This grants them full control over the assistant/agent owner's account. Version 0.22.0 fixes the issue.
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