CrowdStrike A.I CyberSecurity Scoring
03/07/2026
Access Monitoring Plan
Access Monitoring Plan
CrowdStrike has 455.56% more incidents than the average of same-industry companies with at least one recorded incident.
CrowdStrike has 482.52% more incidents than the average of all companies with at least one recorded incident.
CrowdStrike reported 6 incidents this year: 3 cyber attacks, 2 ransomware, 1 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.
## Our core business We manage linux / unix server infrastructures and build the efficient and secure networking environments using hardware cutting edge technologies suited to the needs of the project and the client. We believe in quality, opposed to quantity. Our company consists of highly qualified, experienced people, who share a common passion of both server and network infrastructure management. ## Our principles We stated basic principles, that we see as crucial in successful delivery of a stable and secure network environment project: • we tend to give client what he needs, not what he wants • we believe in open communication with client • client is not our enemy • "strict" is for corporations, we believe in "flexible" • teamwork - share victory, share defeat ## What we do best We specialise in linux / unix server and large network environments management. We think, that every need deserves a custom solution, as in most of cases it is cheaper and easier, than a ready solution with after-integration pain. We deliver individual solutions, that best fulfill need of our clients. The impact is put always on high quality and technological innovation of the project. ## Technologies we use We use a set of technologies we think are best suitable for big projects and those we have experience with, although we do not limit ourselves to them only. We constantly seek for new horizons, new trends and test them, so when they become mature, we can make use of them in our work. Network Security Solutions is always in search of new possibilities. ## Our offer Linux / Unix servers and network Router / Switch management, from big complicated environments to smaller ones. We offer hosting on our servers as well as the ability to manage servers from our customers. We provide 24/7/365 monitoring for customers whose services we manage.
Palo Alto Networks, the global cybersecurity leader, is shaping the cloud-centric future with technology that is transforming the way people and organizations operate. Our mission is to be the cybersecurity partner of choice, protecting our digital way of life. We help address the world's greatest security challenges with continuous innovation that seizes the latest breakthroughs in artificial intelligence, analytics, automation, and orchestration. By delivering an integrated platform and empowering a growing ecosystem of partners, we are at the forefront of protecting tens of thousands of organizations across clouds, networks, and mobile devices. Our vision is a world where each day is safer and more secure than the one before. For more information, visit www.paloaltonetworks.com.
Latest updates, reports, and threat intel affecting the global network.
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Klever-Go is the Go implementation of the Klever blockchain protocol. Versions from 1.7.14 through 1.7.17 are vulnerable to a remotely triggerable denial of service. Both REST APIs are started with the Gin Engine.Run convenience method, which serves requests through Go's default HTTP server with no ReadHeaderTimeout, ReadTimeout, or MaxHeaderBytes configured. As a result, incoming connections that never complete their request headers are held open indefinitely. When a REST listener is reachable beyond localhost through the documented all-interface bind or a Docker port-publish deployment, a single unauthenticated client can open many slow-header connections and hold them open until server file descriptors are exhausted, preventing the API from accepting new connections. This renders the REST API unavailable to legitimate clients. This issue is fixed in version 1.7.18.
Klever-Go is the Go implementation of the Klever blockchain protocol. In versions 1.7.14 through 1.7.17, the direct-message ingress handler spawns a new goroutine for every incoming direct message before the processor-level antiflood layer makes any admission decision, with no semaphore, throttler, or bound on the number of concurrent in-flight spawns. Because the antiflood check runs inside the spawned goroutine rather than before it, a single connected peer can open a direct-send stream and send a stream of well-formed messages to force unbounded goroutine creation, where each goroutine allocates its own stack and holds a message reference until processing completes, adding scheduler and garbage-collection pressure faster than the runtime can drain it. This lets one peer degrade the node's availability and its ability to process legitimate traffic, resulting in a remotely triggerable denial of service. The issue is fixed in 1.7.18.
Klever-Go is the Go implementation of the Klever blockchain protocol. Versions 1.7.14 through 1.7.17 are vulnerable to a nil-pointer panic triggered by a protobuf Transaction whose embedded RawData sub-message is omitted. This omission causes RawData to decode to nil. Every transaction gossiped on the Klever-Go P2P network is decoded and validated synchronously inside the libp2p pubsub topic-validator callback, where txVersionChecker.CheckTxVersion dereferences tx.RawData.Version with no nil check. Because the libp2p pubsub callback, the underlying go-libp2p-pubsub validation worker, and Klever's own network/p2p layer install no recover(), the panic propagates and crashes the entire node process. The attacker payload is a 3-byte protobuf message; no validator key, stake, funds, or on-chain account is required, and delivery aimed at enough of the BLS validator set can halt block production, resulting in a chain halt. This issue has been fixed in version 1.7.18.
Klever-Go is the Go implementation of the Klever blockchain protocol. In versions prior to 1.7.18, the account-data trie syncers are vulnerable to a resource-exhaustion flaw that leaks bounded throttler slots on error paths. In syncDataTrie() (in both userAccountsSyncer.go and kappAccountsSyncer.go), StartProcessing() reserves a slot from the NumGoRoutinesThrottler, but the corresponding EndProcessing() is only called on the success path and on the duplicate-root early return. As a result, any error from trie.NewTrie(), trie.NewTrieSyncer(), or trieSyncer.StartSyncing() (including the network-dependent timeout path) permanently consumes one slot for the lifetime of the throttler. An attacker who can repeatedly cause trie-node sync failures or timeouts during bootstrap can exhaust the bounded throttler, after which further account-data trie syncs stop making progress and SyncAccounts() returns a timeout. Because epoch bootstrap in syncUserAccountsState() and syncKappAccountsState() aborts on any such error, this causes bootstrap to fail, a core availability issue affecting fresh, restarting, or resyncing nodes and validators. This issue is fixed in version 1.7.18.
Ruby LSP is an implementation of the language server protocol for Ruby. Several workspace-level settings in the Ruby LSP VS Code extension prior to version 0.10.4 could override the path to the Ruby executable, the version manager executables, or the Bundler `Gemfile` used at startup. A malicious repository containing a `.vscode/settings.json` could set these values to attacker-controlled targets. Opening and trusting the repository would then execute code with the privileges of the developer. The Ruby LSP gem and clients of the language server in other editors are not affected. Version 0.10.4 of the Ruby LSP VS Code extension fixes the issue.
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