Search: “Juniper Networks”

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Palo Alto Networks security advisory (AV26-905)

Canada's Cyber Centre relayed Palo Alto Networks advisories covering PAN-OS, Cloud NGFW, Prisma Access, and Prisma Browser vulnerabilities, including PAN-OS CVE-2026-0310 buffer overflow.

The Canadian Centre for Cyber Security issued advisory AV26-905, noting that as of September 10, 2026, multiple Palo Alto Networks products are affected by vulnerabilities. Affected products include Cloud NGFW on AWS and Azure, multiple PAN-OS versions, Prisma Access, and Prisma Browser prior to 151.26.5.170. The advisory references CVE-2026-0310, a PAN-OS buffer overflow via XML processing (PAN-SA-2026-0012), and the September 2026 Chromium monthly vulnerability update. Administrators are encouraged to review the vendor links and apply available updates.

Canadian Centre for Cyber Security·Sep 10, 12:10 UTC · 6d agoAdvisory 3 sourcesCVE-2026-0310

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Chinese Backdoor Malware Juniper

Infosecurity Magazine reports Chinese-linked backdoor malware targeting Juniper network devices, per title only.

Based on the headline alone, this item concerns backdoor malware linked to Chinese actors affecting Juniper network equipment. No article text is available, so details on victims, scale, or attribution are unavailable.

Infosecurity Magazine·Aug 19, 00:00 UTC · 28d agoThreat actor

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Iranian Hackers Pose as Recruiters to Deliver Cross

Kaspersky attributes new cross-platform RATs NodeRabbit and PollCat to Iranian group Nimbus Manticore, spread via recruiter-themed LinkedIn lures.

Kaspersky links two previously undocumented malware families, NodeRabbit (Node.js) and PollCat (obfuscated JavaScript), to the Iranian threat actor Nimbus Manticore, also known as Iranian Dream Job. Victims in Afghanistan, Egypt, and Ethiopia received trojanized coding challenge archives containing fake npm packages (colorized_terminal, pretty-log) that silently launched the RATs as background processes. NodeRabbit contacts Azure-hosted C2 servers via checkin, task, and result API endpoints and supports 11 commands including shell execution, file operations, and network enumeration. Persistence is platform-specific: Windows Run keys or scheduled tasks, Linux cron entries, and macOS launch agents, impersonating Microsoft Edge updates or Intel's Driver & Support Assistant.

The Hacker News·Sep 2, 10:20 UTC · 14d agoThreat actor

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USN-8730-2: Linux kernel (Azure) vulnerability

Ubuntu fixes a Linux kernel (Azure) vulnerability in the IPv6 networking and Netfilter subsystems.

Ubuntu security notice USN-8730-2 corrects a security issue in the Linux kernel Azure flavor affecting the IPv6 networking and Netfilter subsystems. An attacker could possibly use the flaw to compromise the system.

Ubuntu Security Notices·Sep 15, 09:41 UTC · 1d agoAdvisory 2 sources

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The 12 Best Managed Firewall Services, Compared and Priced

GBHackers compares 12 managed firewall service providers, naming Fortinet best value and Secureworks best detection while flagging recent ownership changes.

The buyer's guide evaluates 12 managed firewall/MSSP providers across cost tiers, contract terms, and service models. Fortinet is rated best value, Secureworks best detection, NTT Data best global reach, and Cato Networks best for organizations wanting to stop owning firewalls. The article highlights that Secureworks was acquired by Sophos for roughly $859 million in February 2025, the Trustwave-Cybereason merger was terminated in March 2025, LevelBlue is the rebranded AT&T Cybersecurity business, and Comcast Business absorbed Masergy.

GBHackers·Sep 8, 10:20 UTC · 8d agoIndustry 2 sources

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USN-8730-1: Linux kernel vulnerability

Ubuntu issued USN-8730-1 fixing Linux kernel flaws in IPv6 networking and Netfilter that could allow system compromise.

Ubuntu released USN-8730-1 addressing a security issue discovered in the Linux kernel. The update corrects flaws in the IPv6 networking and Netfilter subsystems. Ubuntu states an attacker could possibly use the issue to compromise the system.

Ubuntu Security Notices·Sep 7, 09:12 UTC · 9d agoAdvisory 6 sources

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To keep the AI hacking genie bottled up, try one-way networks

Intuition Machines CEO proposes data diodes and one-way networks to physically prevent frontier AI models from escaping training sandboxes, citing the OpenAI Hugging Face incident.

Eli-Shaoul Khedouri, CEO of Intuition Machines, argues that sandboxes, permissions, and VMs are insufficient to contain frontier models, pointing to OpenAI's hack of Hugging Face as evidence. He proposes high assurance architectures modeled on classified SCIF environments: one-way optical data diodes for training inputs and telemetry, a sel4-verified receiver, immutable snapshots of registries like PyPI, GitHub, and npm, and mocked web services. He estimates under five percent overhead per gigawatt for such clusters, but notes frontier labs have not adopted them, largely because of competitive speed rather than cost.

The Register · Security·Sep 3, 06:33 UTC · 13d agoAI safety & security

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Hackers Use Claude and GPT-Powered Tools to Help Breach Government and Financial Networks

Unit 42 links two Latin America campaigns where operators used Claude and GPT-4.1 during intrusions against government and financial targets.

Palo Alto Networks Unit 42 identified two activity clusters, CL-CRI-1131 and CL-CRI-1163, tied by shared SOCKS5 relay infrastructure and use of large language models during operations. The Mexican cluster targeted a transportation organization, federal ministries and water utilities in Mexico and Ecuador, while the Brazilian cluster used resume-themed phishing, custom remote-access Trojans and SockTz SOCKS5 tunneling against financial organizations. An exposed self-hosted NextChat interface on attacker infrastructure led researchers to assess operators used Claude and GPT-4.1 to generate workaround scripts and troubleshoot execution failures. Unit 42 noted AI reduced time needed to troubleshoot intrusions after initial access, rather than replacing the attacker.

Cyber Security News·Sep 10, 08:06 UTC · 6d agoThreat actor in the wild 2 sources1

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Benign Loss Landscapes Can Coexist with Worst-Case Hardness

Theory paper shows tree tensor networks contain worst-case hard targets yet benign loss landscapes, with difficulty arising from degenerate saddles.

The paper studies tree tensor networks (TTNs), which generalize deep linear networks and Tucker decompositions and embed arbitrary read-once Boolean formulas. It proves that every local minimum that is minimum-norm is global for every realizable target, so bad local minima do not distinguish typical from worst-case problems. Instead, learning difficulty arises from high-order degenerate saddle points caused by rank-deficiency, illustrated via a parity function case study, linking landscape geometry to computational hardness.

arXiv cs.AI / cs.LG / cs.CL·Sep 11, 16:57 UTC · 4d agoAI research

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Edge infrastructure under siege: what two independent datasets reveal about who's exploiting your perimeter

Joint Tenable-SentinelOne analysis of 93 CVE-actor attribution pairs shows nation-state and criminal groups independently converge on the same edge infrastructure.

Tenable and SentinelOne jointly analyzed 93 CVE-actor attribution pairs covering exploitation of perimeter devices. The data shows state-sponsored and financially motivated actors independently target the same edge products from Ivanti, Fortinet, and Palo Alto Networks. The findings challenge the narrative that edge exploitation is exclusively a China-nexus nation-state problem, showing a broader shared attack surface.

Tenable Blog·Aug 26, 13:00 UTC · 21d agoThreat actor in the wild

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Trends in Web Threats: Old Web Skimmer Still Active Today

Unit 42 detected 577,000 landing URL incidents in Q1 2022, with an old web skimmer family still actively stealing payment card data.

Palo Alto Unit 42 detected 577,275 landing URL incidents (116,643 unique) and 2,043,862 malicious host URL incidents (180,370 unique) between January and March 2022. Web threat volumes declined after the November 2021 holiday peak, but an old web skimmer family remained active. Business and economy sites overtook personal sites as the most common apparently benign entry points. Most malicious domains geolocated to the United States, Germany, and Russia, though proxy servers and VPNs obscure true locations.

Palo Alto Unit 42·Aug 17, 13:05 UTC · Aug 17, 2026Research

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Banking Trojans: Ursnif Global Distribution Networks Identified

Unit 42 maps banking-trojan distribution networks: spam botnets push Shiotob downloaders and Ursnif, KINS, Tinba at Japan and European targets via compromised web servers.

Unit 42 identified the distribution networks behind banking trojan attacks against Japan, Italy, Spain, Poland, Australia, and Germany. A spam botnet delivered 75 unique Shiotob (Bebloh/URLZone) variants across 7 million spam emails, with Shiotob acting mainly as a downloader that installs Ursnif and the Pushdo spam bot from C2 commands. Over 200 malicious files were hosted on 74 compromised, mostly European small-business web servers between April 2015 and January 2017, with localized invoice and photo-themed email lures per target country.

Palo Alto Unit 42·Aug 17, 12:56 UTC · Aug 17, 2026Malware in the wild

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Project CAV3RN continues: Google Apps Script as C2 relay and DNS-based C2 channel selection

Project CAV3RN continues targeting Israel, using Google Apps Script C2 relays and DNS-based channel routing in a .NET NativeAOT framework.

Kaspersky Securelist documents the continuation of Project CAV3RN operations against Israel. The modular .NET NativeAOT framework uses Google Apps Script as a C2 relay and DNS-based C2 channel selection, blending command traffic with legitimate Google services to evade detection.

Kaspersky Securelist·Aug 11, 10:00 UTC · Aug 11, 2026Threat actor in the wild

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HYDRA: Quantifying Botnet Resource Thresholds for Efficient Link-Flooding Attacks on LEO Satellite Networks

HYDRA models link-flooding attacks on LEO satellite constellations as botnet minimization, matching prior disruption with 34% fewer bots and 23% less traffic.

HYDRA formulates link-flooding attack variants against LEO constellations such as Starlink and Kuiper as botnet minimization problems, quantifying the smallest bot subset and traffic allocation needed to disrupt communications between targeted geographic areas. Under matched stealth constraints it matches the ICARUS attack's disruption using 34% fewer bots and 23% less aggregate traffic, sustaining over 97% attack success as topology evolves. The framework also evaluates five mitigations, including routing diversification, ingress policing, distance-based constraints, source throttling, and botnet attrition.

arXiv cs.CR·Sep 14, 15:00 UTC · 2d agoResearch

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HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning

HybridFLow uses SDN topology visibility to partition federated-learning clients into sync/async groups, reaching 80% accuracy 33-40% faster than SmartFLow.

HybridFLow is a closed-loop, SDN-driven orchestration framework for hybrid federated learning that integrates network-layer intelligence into cross-silo training. It leverages the SDN controller's global topology view to generate calibrated per-client communication-time estimates, partitioning clients into synchronous and asynchronous groups while balancing round latency and update staleness, with measured times fed back after each round. Across multiple network topologies it reaches 80% target accuracy 33-40% faster than SmartFLow and cuts average round duration by 30-40 seconds, while FedAsync fails to reach target accuracy under non-IID data.

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 16:23 UTC · 6d agoAI research

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New Ted Backdoor Hides Inside Victims' Own HAProxy Builds to Intercept Web Traffic

Rapid7 found a new backdoor, ted, compiled into trojanized HAProxy at two South Korean organizations, with medium-confidence attribution to North Korean actors.

Rapid7 documented a previously undocumented Linux toolkit named ted compiled into the HAProxy load balancer binaries of two South Korean organizations in the automotive and media sectors. The implant intercepts web traffic, serves altered pages only to filtered visitors, and hides C2 exchanges from backend logs and HAProxy statistics; a companion RAT, curlRAT, beacons on a default 12-hour schedule. The toolkit also trojanizes crond, sshd, agetty, atd, and polkitd binaries and sanitizes logs and bash history. Rapid7 attributes the activity with medium confidence to North Korean state-sponsored actors, with domain infrastructure overlapping APT37 listings in maltrail and delivery resembling the Operation SyncHole campaign.

The Hacker News·Sep 4, 14:51 UTC · 12d agoThreat actor in the wild

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HoneyRoute: Honeypot-Model Routing for Adversarial LLM Serving

HoneyRoute detects malicious LLM serving requests and diverts them to a honeypot model, reaching F1 0.911 with 38 ms median added latency.

HoneyRoute is an inference-serving layer pairing a streaming router (a frozen 0.8B embedding backbone with per-domain MLP heads) with a dual-implementation honeypot and an analysis loop that converts trapped interactions into attacker fingerprints for router retraining. On a production trace plus a seven-domain attack corpus it matches 96% of a two-tier guard-LLM cascade's F1 at 1/385th of its latency with 0% evasion under 13 adversarial transformations. Diverting malicious traffic cuts production token consumption under GCG-suffix flooding by 97.8%, and loop training raises detection F1 to 0.933.

arXiv cs.CR·Sep 8, 06:26 UTC · 8d agoAI safety & security

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MacOS 27 - First Boot, (Tue, Sep 15th)

SANS ISC documents the expected network traffic macOS 27 'Golden Gate' generates on first boot to help defenders baseline their networks.

Johannes Ullrich of SANS Internet Storm Center captured roughly 300 packets from a macOS 27 'Golden Gate' system before user login, covering DHCP, IPv6 duplicate address discovery, DNS, and TCP behavior. macOS 27 resolves hostnames like albert.apple.com (device activation, certificate-pinned), push messaging hosts, and ipv4only.arpa for NAT64 networks. The OS still uses a TCP window scale of 6, ECN, and random timestamps, with only four TCP connections observed during boot. The analysis provides a reference baseline for security teams monitoring Apple endpoints.

SANS Internet Storm Center·Sep 15, 15:23 UTC · 1d agoResearch

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Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

An event-native spike encoding framework lets recurrent spiking neural networks run intrusion detection directly on heterogeneous packet and CAN bus streams.

The paper maps heterogeneous cyber events—categorical identifiers, local frequency context, and inter-event timing—directly into sparse spike-compatible inputs for spiking neural networks. This avoids flow aggregation and fixed windows that add buffering latency and obscure temporal structure in traditional IDS pipelines. Compact recurrent SNNs under edge-oriented neuromorphic hardware constraints achieve a hybrid anomaly metric of 0.987 on packet-level Network IDS and 0.980 on message-level CAN IDS.

arXiv cs.CR·Sep 14, 15:55 UTC · 1d agoResearch

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Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama

Opinion piece urges migrating 35KB preprompts from Anthropic/OpenAI to self-hosted Ollama, citing session privacy risks and safety filters blocking security research.

The author documents gotchas migrating 35KB preprompts from Claude Opus to self-hosted Ollama, motivated by fears that frontier providers train on user sessions, citing the OpenAI Navier-Stokes controversy. The piece argues inference providers cannot audit their own retention or training pipelines and that only self-hosted hardware offers verifiable privacy. It also criticizes frontier safety filters for refusing vulnerability research tasks and calls for models that support exploitability testing in CI/CD pipelines.

Hacker News · AI·Sep 14, 13:59 UTC · 2d agoAI industryHN 41↑ · 13 comments1

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Beneath the Surface: Detecting and Blocking Hidden Malicious Traffic Distribution Systems

Unit 42 built an ML-based detector for malicious traffic distribution systems, finding malicious TDS chains average longer redirections and more URLs than legitimate ones.

Traffic distribution systems redirect victims through chains of intermediate domains to hide final destinations, serving phishing, malvertising, and online gambling operations. Unit 42's topological analysis of redirection graphs found malicious TDS traffic uses longer chains (about 25% exceed four hops vs 10% benign), more URLs (median 126 vs 80), and fewer isolated subgraphs with higher connectivity. These features power an ML detector integrated into Advanced DNS Security and Advanced URL Filtering to identify and block malicious TDS infrastructure in customer traffic.

Palo Alto Unit 42·Aug 17, 12:46 UTC · Aug 17, 2026Research

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Unit 42 warns AI has shifted balance of power from defenders to attackers

Unit 42 says agentic AI has shifted attacker advantage, investigating an incident where one attacker exploited 50 enterprise applications in under 10 hours.

Palo Alto Networks Unit 42 leaders said early waves of agentic AI-enabled attacks are breaking in the wild and that frontier model capabilities have shifted the balance of power from defenders to attackers. The team is actively investigating an attack on a customer where an attacker used an agentic framework to exploit 50 applications and other weaknesses across the enterprise in less than 10 hours, work they estimate would have taken at least 10 days pre-AI. Unit 42 says AI already touches the entire attack chain, including malware development, social engineering, and ransomware negotiations. The warning follows April's Project Glasswing initiative formed with Anthropic around its Mythos model.

CyberScoop·Aug 27, 18:31 UTC · 19d agoAI safety & security in the wild

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ZDI-26-609: Linux Kernel Net Scheduler Packet Classifier Use-After-Free Local Privilege Escalation Vulnerability

The Linux kernel net scheduler packet classifier has a use-after-free (CVSS 7.8) allowing local attackers to escalate privileges from low-privileged code.

ZDI-26-609 describes a use-after-free vulnerability in the Linux kernel's network scheduler packet classifier, with a CVSS score of 7.8. An attacker must first be able to execute low-privileged code on the target system before escalating privileges. The advisory text does not list an assigned CVE identifier.

ZDI Published Advisories·Aug 24, 05:00 UTC · 23d agoVulnerability

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Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

ExCYDER framework self-verifies anomaly detection alerts for DER power grids using LightGBM and SHAP, reaching over 98% detection accuracy.

The paper presents ExCYDER, an explainable AI anomaly detection framework for Distributed Energy Resource networks that combines LightGBM with SHAP to validate whether each model decision aligns with its feature-attribution evidence. On a realistic DNP3 dataset it achieved over 98% detection accuracy, 14.5 ms SHAP latency per alert, and confidence deviation within 5%. The self-verifying mechanism distinguishes coherent from inconsistent alerts, improving interpretability and auditability for DER-focused security operations centers.

arXiv cs.CR·Sep 11, 00:19 UTC · 5d agoResearch

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PEEP Turns Chrome and Edge Into Post-Compromise Backdoors for Host Command Execution

SOCRadar disclosed PEEP, a post-exploitation Chromium extension toolkit that turns Chrome and Edge into host-level backdoors via native messaging and C2 polling.

SOCRadar researchers detailed PEEP, a Chromium-based post-exploitation toolkit masquerading as a 'Smart Bookmarks' extension injected directly into Chrome and Edge profiles by forging Secure Preferences integrity values, bypassing Web Store checks. A native-messaging host binary (nm_host.exe) extends the browser agent to host-level command execution, file management, credential theft, and session hijacking, while the extension polls C2 endpoints at 206.237.30.232 or xfjcc.fun every 30 seconds over plaintext HTTP and exfiltrates browsing history, cookies, and tab metadata. PEEP is derived from the open-source RedExt red teaming framework, adds PowerShell persistence scripts, and includes a Linux-targeting Python script, suggesting cross-platform intent. The activity is unattributed but contains Chinese-language artifacts; a C2 /health endpoint showed 34 agent entries and 10 active sessions.

The Hacker News·Sep 7, 18:12 UTC · 8d agoMalware in the wild

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New infosec products of the week: August 21, 2026

Weekly product roundup covering NETSCOUT outbound DDoS mitigation, F5 AI Gateway enhancements, Intezer Workflows, and Tufin TOS 5.3.

NETSCOUT extended Adaptive DDoS Protection to automatically mitigate outbound attack traffic for service providers. F5 enhanced its AI Gateway and integrated it into the F5 AI Security Platform for unified AI access governance. Intezer launched Workflows, native automation and response inside its platform without a separate SOAR, and Tufin released Orchestration Suite 5.3 with AI-powered Segmentation Intelligence for multi-vendor environments.

Help Net Security·Aug 21, 00:00 UTC · 26d agoTools

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The AI Supply Chain Has a Security Problem, and Much of It Is Sitting on the Open Internet

Researchers counted 36,769 publicly reachable self-hosted AI endpoints, only about 2% behind HTTP authentication, exposing Ollama, vLLM, and Flowise to abuse.

A Mysterium VPN study found 36,769 self-hosted AI endpoints reachable through internet scanning, with only 2.02% returning an HTTP authentication challenge. Open WebUI accounted for 18,529 reachable instances, Ollama for 6,935 fingerprinted hosts, and 5,223 agent-builder and workflow platforms were exposed, often holding API keys, database credentials, and other secrets. The report highlights LLMjacking risk from exposed Ollama APIs, a critical Flowise bug (CVE-2026-40933), leaked n8n tokens, and prior SentinelOne/Censys research finding roughly 175,000 exposed Ollama hosts in 130 countries.

Security Affairs·Sep 11, 17:27 UTC · 4d agoAI safety & securityCVE-2026-409331

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Iran-linked APT Mirage Kitten Uses Fake Job Tests to Spread Malware

Kaspersky reports Iran-linked Mirage Kitten delivers new NodeRabbit and PollCat malware to fintech and aviation targets via fake LinkedIn coding assessments.

Kaspersky researchers documented two previously undocumented Node.js malware families, NodeRabbit and PollCat, attributed with high confidence to Iran-linked APT group Mirage Kitten. The malware is delivered via fake recruiter personas on LinkedIn offering coding assessments hosted on Amazon S3, with instructions banning AI assistants so AI code-review tools would not flag the trojanized npm packages. NodeRabbit is cross-platform (Windows, Linux, macOS), uses AES-256-GCM-encrypted C2 on Azure, includes sandbox checks, and one variant installs a fake 'GitHub Copilot Helper' VS Code extension plus Git hook persistence. Victims identified so far are in fintech and aviation organizations across Egypt, Ethiopia, and Afghanistan.

Security Affairs·Sep 2, 10:37 UTC · 14d agoThreat actor in the wild1

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Hackers Exploit Critical Cisco Firewall Flaw to Gain Root Access and Deploy Malware

State-sponsored and ransomware actors actively exploit critical Cisco FMC flaws CVE-2026-20079 (CVSS 10.0) and CVE-2026-20316 to gain root access and deploy ransomware.

Cisco Talos confirmed in-the-wild exploitation of CVE-2026-20079 (CVSS 10.0, unauthenticated authentication bypass enabling root command execution) and CVE-2026-20316 (CVSS 5.3, hard-coded static credentials) in Cisco Secure Firewall Management Center. Three activity clusters were identified: UAT-12197 dropping a JSP web shell and credential harvester; UAT-11823, assessed as Sandworm, deploying a Cyclops Blink variant; and UAT-11988, a Qilin ransomware affiliate chaining the flaws before deploying ransomware. CISA added both CVEs to the KEV catalog with a September 12 remediation deadline for federal agencies.

Cyber Security News·updated Sep 14, 09:27 UTC · 2d ago·first Sep 10, 13:33 UTC · 6d agoExploit / PoC in the wild 13 sourcesCVE-2026-20079CVE-2026-20316

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