Concord is a technology consultancy building connected customer experiences backed by powerful AI & analytics and underpinned by secure IT foundations. Digital Experience | Data & Analytics | Engineering & Applications
Zensar stands out as a premier technology consulting and services company, embracing an ‘experience-led everything’ philosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, services, and solutions to deliver superior engagement to high-growth companies. This full lifecycle capability – from experience to engineering to engagement – is what makes us unique. This integrated approach also means that we harness the power of technology, creativity, and insight to deliver impact — ensuring our work focuses not just on technology but also on the people who use it. Part of the $4.4 billion RPG Group, Zensar is headquartered in Pune, India. Our 10,000+ employees work across 30+ locations worldwide, including Seattle, Princeton, Cape Town, London, Singapore, and Mexico City. As an organization, we are diverse and multi-dimensional and unite across geographies and skill sets to deliver products and services that are value-driven, environmentally conscious, and human-centered. To know more, visit us at www.zensar.com.
Security & Compliance Standards Overview
No incidents recorded for Concord in 2025.
No incidents recorded for Zensar Technologies in 2025.
Concord cyber incidents detection timeline including parent company and subsidiaries
Zensar Technologies 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.
