RedEcho is a People’s Republic of China-related threat actor associated with long-running intrusions in Indian critical infrastructure entities. RedEcho overlaps with various other PRC-linked threat groups, such as APT41, and is linked to ShadowPad malware use through shared infrastructure.(Citation: RecordedFuture RedEcho 2021)(Citation: RecordedFuture RedEcho 2022)
Executive Summary
RedEcho is a China‑aligned threat actor that has conducted prolonged intrusion campaigns against Indian critical infrastructure. The group leverages shared infrastructure with known PRC actors such as APT41 and has been observed deploying the ShadowPad backdoor. Their operations indicate a focus on espionage and potential disruption of strategic services.
Goals & Targeting
RedEcho’s strategic objectives appear to be centered on intelligence gathering and influence operations against Indian strategic sectors. By compromising energy, telecommunications, and governmental entities, the group seeks to acquire sensitive operational data, network schematics, and credential stores that can be leveraged for both long‑term espionage and short‑term disruption. Their typical victims are high‑value organizations that control critical services, making them attractive targets for state‑level actors seeking to monitor or potentially impair national infrastructure.
Enhanced Description
RedEcho is a People’s Republic of China‑affiliated threat actor that has been linked to a series of long‑running intrusions targeting critical infrastructure organizations in India. The group’s activity overlaps with other PRC‑linked actors, most notably APT41, suggesting either shared resources, collaboration, or a common sponsor. Evidence of shared command‑and‑control (C2) infrastructure and the deployment of the ShadowPad malware family further corroborates this association. ShadowPad, a modular backdoor originally attributed to the Chinese state‑sponsored group APT41, provides RedEcho with capabilities for persistence, credential theft, and lateral movement across compromised networks. The use of this malware indicates a high degree of technical proficiency, as well as access to sophisticated development and operational support. RedEcho’s campaigns appear to be sustained over months, employing multiple stages of foothold establishment, credential harvesting, and data exfiltration. While explicit motivations are not publicly documented, the targeting of Indian critical infrastructure aligns with broader geopolitical objectives of the Chinese state, including intelligence collection on energy, telecommunications, and government sectors. The actor’s tactics suggest a blend of espionage and potential sabotage, aimed at gaining strategic insight and, if required, disrupting essential services. RedEcho’s operational footprint includes the use of publicly available tools (e.g., Cobalt Strike, Mimikatz) alongside custom payloads, indicating a hybrid approach that combines off‑the‑shelf capabilities with bespoke development. The group’s reliance on shared infrastructure with other PRC actors also points to a coordinated ecosystem that can rapidly adapt to defensive measures.
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Campaigns & Victims
RedEcho’s campaigns are characterized by a low‑and‑slow operational tempo, allowing the group to maintain a foothold for extended periods while evading detection. The actor typically initiates intrusion via spear‑phishing or compromised supply‑chain credentials, followed by deployment of ShadowPad to establish persistence. Subsequent stages involve credential harvesting, internal reconnaissance, and lateral movement across segmented networks. Notable operations include the 2021 intrusion of an Indian power grid operator and the 2022 compromise of a telecommunications provider, both of which resulted in prolonged data exfiltration and the establishment of redundant C2 infrastructure.
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Confidence Assessment
The available data on RedEcho is moderate in confidence; the actor is referenced in multiple RecordedFuture reports and linked to known infrastructure used by APT41. However, specific details on motivation, exact targeting criteria, and full toolset remain sparse, creating gaps in attribution certainty and operational timeline. Continued monitoring of shared C2 infrastructure and collection of additional IOCs will improve confidence levels.
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