Hunters.io researchers report 3,562 exposed Redis servers hijacked via replication abuse into Monero cryptomining, causing performance loss and data-integrity risk.
Researchers at Hunters.io exposed a cryptomining operation that compromised 3,562 distinct Redis servers after scanning 12,966 targets. The attackers used unauthenticated Redis instances and master-replica replication to plant a cron task that downloaded and ran XMRig every five minutes. The miner connects to a mining pool over encrypted port 443 and hides among temporary files. Impact includes high CPU usage, elevated cloud bills, and data-loss risk from altered Redis persistence settings.
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.
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 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.
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
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
Authenticated OS Command Injection RCE in SonicWall SMA1000 Appliance Console
CVE-2026-83549 is a post-authentication OS command injection flaw (CWE-78) in the Appliance Management Console (AMC) of SonicWall SMA1000 appliances. An attacker who authenticates to the AMC with administrator privileges can, under specific conditions, inject arbitrary operating system commands and achieve remote code execution on the appliance. Only organizations running SMA1000-series appliances, including the SMA 6210, SMA 7210, and SMA 8200v models cited in the data, are affected. CISA added the flaw to the KEV catalog on 2026-09-02, and news reports describe active exploitation, possibly chained with companion zero-day CVE-2026-83548, with reverse shells and cryptocurrency miners observed; no public proof-of-concept is known. EPSS assigns an 8.5% probability of exploitation within 30 days (95th percentile).
· SonicWall SMA1000 series appliances - Appliance Management Console (AMC) · SonicWall SMA 6210 (SMA1000 series firmware) 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
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In version 0.23.1 and possibly earlier versions, the MinerU parser contains a "Zip Slip" vulnerability, allowing an attacker to overwrite arbitrary files on the server (leading to Remote Code Execution) via a malicious ZIP archive. The MinerUParser class retrieves and extracts ZIP files from an external source (mineru_server_url). The extraction logic in `_extract_zip_no_root` fails to sanitize filenames within the ZIP archive. Commit 64c75d558e4a17a4a48953b4c201526431d8338f contains a patch for the issue.
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.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In versions 0.24.0 and prior, a Server-Side Template Injection (SSTI) vulnerability exists in RAGFlow's Agent workflow Text Processing (StringTransform) and Message components. These components use Python's jinja2.Template (unsandboxed) to render user-supplied templates, allowing any authenticated user to execute arbitrary operating system commands on the server. At time of publication, there are no publicly available patches.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In versions prior to 0.23.0, a low-privileged authenticated user (normal login account) can execute arbitrary system commands on the server host process via the frontend Canvas CodeExec component, completely bypassing sandbox isolation. This occurs because untrusted data (stdout) is parsed using eval() with no filtering or sandboxing. The intended design was to "automatically convert string results into Python objects," but this effectively executes attacker-controlled code. Additional endpoints lack access control or…
Entities are extracted by the model from each article. Watching an entity keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.