
SocialProof Security
Defend against cyber criminals with engaging security awareness and social engineering prevention videos, training, talks and penetration testing.



Defend against cyber criminals with engaging security awareness and social engineering prevention videos, training, talks and penetration testing.

CrowdStrike (Nasdaq: CRWD), a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk — endpoints and cloud workloads, identity and data. Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities. Purpose-built in the cloud with a single lightweight-agent architecture, the Falcon platform delivers rapid and scalable deployment, superior protection and performance, reduced complexity and immediate time-to-value. CrowdStrike: We stop breaches.
Security & Compliance Standards Overview












No incidents recorded for SocialProof Security in 2025.
CrowdStrike has 488.24% more incidents than the average of same-industry companies with at least one recorded incident.
SocialProof Security cyber incidents detection timeline including parent company and subsidiaries
CrowdStrike cyber incidents detection timeline including parent company and subsidiaries
Last 3 Security & Risk Events by Company
httparty is an API tool. In versions 0.23.2 and prior, httparty is vulnerable to SSRF. This issue can pose a risk of leaking API keys, and it can also allow third parties to issue requests to internal servers. This issue has been patched via commit 0529bcd.
5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. In versions 0.15.2 and prior, an RCE vulnerability exists in useMarkdown.ts, where the markdown-it-mermaid plugin is initialized with securityLevel: 'loose'. This configuration explicitly permits the rendering of HTML tags within Mermaid diagram nodes. This issue has not been patched at time of publication.
continuwuity is a Matrix homeserver written in Rust. Prior to version 0.5.0, this vulnerability allows a remote, unauthenticated attacker to force the target server to cryptographically sign arbitrary membership events. The flaw exists because the server fails to validate the origin of a signing request, provided the event's state_key is a valid user ID belonging to the target server. This issue has been patched in version 0.5.0. A workaround for this issue involves blocking access to the PUT /_matrix/federation/v2/invite/{roomId}/{eventId} endpoint using the reverse proxy.
LangChain is a framework for building LLM-powered applications. Prior to @langchain/core versions 0.3.80 and 1.1.8, and prior to langchain versions 0.3.37 and 1.2.3, a serialization injection vulnerability exists in LangChain JS's toJSON() method (and subsequently when string-ifying objects using JSON.stringify(). The method did not escape objects with 'lc' keys when serializing free-form data in kwargs. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in @langchain/core versions 0.3.80 and 1.1.8, and langchain versions 0.3.37 and 1.2.3
LangChain is a framework for building agents and LLM-powered applications. Prior to versions 0.3.81 and 1.2.5, a serialization injection vulnerability exists in LangChain's dumps() and dumpd() functions. The functions do not escape dictionaries with 'lc' keys when serializing free-form dictionaries. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in versions 0.3.81 and 1.2.5.