Regions Targeted: US, Global
Related Families & Threat Actors: Lynx, ANUBIS, Rhysida, LockBit, ALPHV/BlackCat, Qilin, Medusa, The Gentleman, Payload, NetRunner, Genesis, ShinyHunters, Pay2Key, Handala
Key Takeaways
Threat Overview
The healthcare sector remains highly vulnerable due to operational urgency, high-value data, and reliance on interconnected systems. In 2026, the threat landscape reflects a multi-layered adversary model:
A recently disclosed breach affecting Medtronic underscores the growing risk to the healthcare supply chain. The incident, claimed by ShinyHunters, involved unauthorized access to corporate systems and potential large-scale data exfiltration. While no clinical disruption was reported, the breach highlights how compromise of medical technology providers can expose sensitive data and introduce downstream risk across healthcare environments. Attackers are no longer focused solely on hospitals but are increasingly targeting the broader healthcare ecosystem, including vendors, medical device manufacturers, and service providers.
ShinyHunters’ approach reflects a broader evolution in threat actor strategy, where attackers prioritize access to centralized data environments over operational disruption. By targeting corporate IT infrastructure rather than clinical systems, the group is able to operate with reduced likelihood of immediate detection while still achieving high-impact outcomes. This model enables large-scale data theft without the complexity or risk associated with deploying ransomware in environments where disruption may trigger rapid incident response.
The incident also underscores the importance of viewing healthcare as an interconnected ecosystem rather than isolated organizations. Medical technology providers, billing platforms, and healthcare IT vendors maintain extensive access to sensitive data and systems, making them high-value targets for attackers seeking to scale impact. Compromise at this level can expose data across multiple healthcare entities simultaneously, amplifying the reach of a single intrusion and complicating mitigation efforts across affected organizations.
Threat Actors Targeting The Healthcare Sector
Lynx
Lynx is a ransomware group operating under a double extortion model, combining encryption with data exfiltration. In 2026, Lynx was linked to a healthcare sector intrusion targeting a provider organization, leveraging stolen data and operational disruption to pressure payment, reflecting continued focus on healthcare entities with low downtime tolerance.
ANUBIS
ANUBIS is a ransomware operation targeting mid-sized organizations using encryption-based payloads and extortion tactics. In 2026, the group targeted Signature Healthcare, disrupting systems and forcing downtime procedures, demonstrating continued targeting of regional healthcare providers outside large hospital networks.
Rhysida
Rhysida is a ransomware group known for targeting healthcare, education, and government sectors through opportunistic intrusion methods. In 2026, Rhysida activity continues to impact healthcare organizations, with campaigns involving data exfiltration and encryption to pressure payment from hospitals and healthcare systems.
LockBit
LockBit is a mature ransomware-as-a-service operation with a large affiliate network. Despite law enforcement disruption, LockBit affiliates continue to target healthcare organizations in 2026, particularly through third-party compromise and supply chain access, impacting providers and healthcare service vendors.
ALPHV/BlackCat
ALPHV, also known as BlackCat, is a ransomware group associated with high-impact extortion campaigns. Although direct activity has declined, its tooling and affiliate ecosystem continue to influence ransomware targeting healthcare organizations in 2026, particularly through successor operations and shared techniques.
Qilin
Qilin is a ransomware group associated with double extortion operations targeting critical infrastructure sectors. In 2026, Qilin has been observed targeting healthcare organizations, including hospitals and clinical service providers, leveraging data exfiltration and encryption to disrupt operations and extract payment.
Medusa
Medusa is a ransomware group employing double extortion tactics and public data leak strategies. In 2026, Medusa has targeted healthcare organizations including hospitals and healthcare service providers, focusing on exfiltrating sensitive patient and operational data to increase pressure on victims.
The Gentlemen
The Gentlemen is a ransomware operation observed targeting enterprise and infrastructure organizations. In 2026, the group has been linked to healthcare sector targeting, including attacks against provider organizations and healthcare-related services, using encryption and extortion techniques to disrupt operations.
Payload
Payload ransomware is a lesser-known but active ransomware variant used in targeted campaigns across enterprise environments. In 2026, it has been observed targeting healthcare entities, including smaller providers and clinics, leveraging opportunistic access and encryption-based disruption.
NetRunner
NetRunner is a threat actor associated with data exfiltration and extortion operations, often targeting enterprise environments with large data stores. In 2026, NetRunner activity has included targeting healthcare-related organizations and service providers, focusing on extracting sensitive data for extortion rather than relying solely on encryption.
Genesis
Genesis is associated with credential access and underground market activity, including the sale of compromised access to enterprise environments. In 2026, Genesis-linked activity has contributed to healthcare intrusions by enabling initial access to healthcare systems through stolen credentials, facilitating downstream ransomware and data theft operations.
ShinyHunters
ShinyHunters is a data extortion group specializing in large-scale data breaches and exposure of stolen datasets. In 2026, the group targeted healthcare-adjacent organizations, including medical technology companies, focusing on mass data exfiltration and leak-based extortion rather than encryption.
Pay2Key
Pay2Key is an Iran-linked ransomware operation aligned with state interests. In 2026, the group targeted a US healthcare provider, combining ransomware deployment with strategic disruption, reflecting the intersection of cybercrime and geopolitical objectives.
Handala
Handala is an Iran-aligned cyber group conducting disruptive operations with political messaging. In 2026, the group targeted a medical technology organization, conducting data exfiltration and destructive actions, highlighting expansion into healthcare-related infrastructure. Our analysts previously highlighted this activity in the threat bulletin entitled Healthcare in the Crosshairs: Iran-Linked Cyber Threats Raise Risk for Hospitals, MedTech, and Care Delivery Supply Chains.
Supply Chain and Ecosystem Risk
Supply chain and ecosystem risk in healthcare reflects the sector’s dependence on a tightly interconnected network of vendors, platforms, and service providers that collectively support clinical and administrative operations. Medical device manufacturers, healthcare IT vendors, billing and clearinghouse platforms, and managed service providers are deeply embedded in day-to-day healthcare delivery, often maintaining privileged access to internal systems or handling sensitive patient and operational data. This level of integration creates multiple external entry points into healthcare environments, expanding the attack surface beyond what a single organization can directly control. As a result, a compromise at any one of these nodes can introduce risk into otherwise secure healthcare networks.
Recent threat activity demonstrates that attackers are increasingly targeting these third-party relationships as a means of scaling impact. Rather than breaching individual hospitals, adversaries can compromise a vendor or service provider to gain access to multiple downstream healthcare organizations simultaneously. This approach enables more efficient targeting, broader data exposure, and faster propagation of ransomware or data exfiltration campaigns. In practice, this has led to cascading disruptions, where a single incident affecting a billing platform or IT provider results in widespread outages, delayed claims processing, or loss of system availability across numerous healthcare entities.
This interconnected risk model reinforces that healthcare cybersecurity is no longer confined to organizational boundaries but must be addressed at the ecosystem level. Attacks targeting these entities can result in cascading disruption across multiple healthcare organizations, amplifying impact beyond a single victim.
Operational Impact on Healthcare Delivery and Patient Safety
Cyber incidents in healthcare can directly impact patient care and system operations. Observed effects of cyber incidents in healthcare include system outages that delay procedures, patient diversion that reduces care capacity, temporary loss of access to clinical systems, and increased strain on healthcare personnel. Collectively, these impacts extend beyond operational disruption, elevating healthcare cyber incidents into the domain of public safety and national security.
Identity and credential abuse has become a primary access vector in healthcare environments, particularly as organizations expand their use of cloud platforms, remote access solutions, and SaaS-based clinical systems. Threat actors increasingly rely on stolen or purchased credentials to bypass traditional perimeter defenses, enabling access without deploying malware. These credentials are often obtained via phishing, infostealer malware, or underground marketplaces, and are then used to access electronic health record (EHR) systems, administrative platforms, and cloud infrastructure. Once inside, attackers can move laterally, escalate privileges, and maintain persistence while remaining difficult to detect, as activity appears to originate from legitimate users.
The proliferation of connected medical devices introduces a persistent and often undersecured attack surface within healthcare environments. Devices such as imaging systems, infusion pumps, patient monitoring systems, and other clinical technologies frequently operate on legacy software, lack regular patching, and are not designed with modern security controls. These constraints make them difficult to secure and monitor, while still requiring network connectivity for clinical use. Threat actors can exploit these devices as entry points into broader networks or use them as footholds for lateral movement. In some cases, compromise of these systems may also pose direct risks to patient safety if device functionality is disrupted or manipulated.
Healthcare’s rapid migration to cloud infrastructure has introduced new risks tied to misconfiguration and access control weaknesses. Improperly configured storage buckets, overly permissive identity roles, and exposed APIs can allow unauthorized access to sensitive patient data and internal systems. These exposures are often not the result of advanced exploitation but rather configuration errors that leave data accessible over the internet. Attackers actively scan for such weaknesses, enabling opportunistic data theft at scale. As healthcare organizations continue to adopt cloud-based EHR platforms, analytics systems, and collaboration tools, misconfiguration remains a critical and recurring source of risk.
Threat actors are increasingly leveraging AI to enhance the effectiveness and scale of social engineering campaigns targeting healthcare organizations. AI-generated phishing emails, voice impersonation, and realistic communication patterns enable attackers to convincingly mimic executives, vendors, or clinical staff. These campaigns can be tailored to healthcare-specific workflows, such as billing inquiries or patient coordination, increasing the likelihood of successful compromise. The use of AI reduces the effort required to generate targeted lures while improving their quality, resulting in higher success rates for credential harvesting and initial access operations.
Analyst Commentary
The healthcare threat landscape in 2026 reflects a convergence of ransomware, data extortion, and geopolitical cyber activity. This layered threat model increases both the likelihood and severity of incidents, particularly as attackers expand targeting beyond hospitals to include the broader healthcare ecosystem.
The recent Medtronic breach further illustrates the growing effectiveness of data-centric extortion models targeting healthcare-adjacent organizations. By focusing on corporate IT environments rather than operational or clinical systems, the threat actors were able to obtain large volumes of sensitive data without triggering immediate disruption, allowing the intrusion to persist long enough for significant exfiltration. This approach reduces operational risk for the attacker while maximizing leverage through reputational damage, regulatory exposure, and downstream fraud risk tied to compromised patient or business data. The incident also reinforces that healthcare exposure is no longer limited to direct providers, as compromise of medical technology and service vendors can introduce substantial risk across the broader healthcare ecosystem even in the absence of clinical impact.
PolySwarm’s multi-engine malware analysis marketplace enables organizations to analyze suspicious files and artifacts across a diverse set of detection engines, aggregating results into a unified PolyScore with contextual insights such as behavioral indicators and malware family classifications. This approach can increase the likelihood of identifying emerging or low-consensus threats, particularly in healthcare environments where new ransomware variants and supply chain payloads frequently evade traditional detection methods.
IOCs
PolySwarm has multiple samples of malware associated with the malware families and threat actors profiled above. Below is a selection of hashes of samples from those families and threat actor groups.
Lynx
961d5041e9687ed97102502f6d8d4d92e6147f59925b3114e93e02a5f18dbe8e
8e4f678651d94011755d87f1878e4f7e6ff9880ef78a1017d84760cdb371a962
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b6abd70f49ea02723f11b49b2190ae31750cffdf867f7f94f1ef4f22c89343b4
3b10201b04aa42c5ed08f6faff7feb6aed0b2cd95409a1053aa0730a7f1f7eed
27bdef9628ffec40ebd6e510c98aecdc6c6322284937a78c882a7ac1598b50ed
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f9d55e5054887d9b714161876b97b2d9df59c0ea183b66569000e12203bc649e
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8b40b59077f999f47027df98a8e0ecbfea3a54e70bd46ac3b86b0ae72f023969
4f363419dae1a8384df74e51f76812140a086a388902df086d2c50e109e7286d
2b046c7f474809ee3b79fbeb02ffb318be6cdd0ad7590b2af70dda3d18afee7d
bf00dab757de9f2987d6dbcfc3bb7ee1efec969e3f6ccff1b0488a346b24cbf1
cdfbed1cbe09a700e99b6af91e112906be2385714cdf14b16b88de0f85e36aef
d320b56f3d73d657d3bb7b2dbe5d3c3773299f15e682203bfe488ff972407f3b
ANUBIS
33b3cc77ed83f91ded6ef700bfd93d4aace530452a1e688e01c914c4f37e7605
9be76e224fb857a93a3859792dcc368dc16c5ac6df185621c1bbee6044ee9729
25f5300e140d43e5eb6742f27ffca716fab7d143776b906b5d375d3f26d5b35c
3d3db692be45e7bda3694b9f47367c44ecdfcd095328a939442f288b6b5c77e4
6d78e6b11494be4d5a6d2ab6a1b7b60601516ff2d417b1b2c034acdc70ec167b
ccb4f50c45f53bc39a3e4e5c1daf0ecb48ea4c76815a45d713e61e428e9fb276
a3140f71ee376693d574d5961769972a9045b41e4272c732bc87879dde01aa4f
1af99891fbe6320b86c56e5318f1e1a4e53e5ee1cd6439ddb98578b811277cb2
ea1a28ff5880b830314ea6cb5243697065b3a35d35dcf95cf5723bc9fc920de7
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d9ebeeccd455e2dbf65acdc70326842343f62d77ce311cfa13e4ea796ba8fc3d
53fc0234c1852a4d92633f03b6f8be706ad2554d04683cbe92427bd0ae079dd5
bc9af7804d8601a1c9a327d4896628923d03b1f2d5573b77d045858fcb1e7c26
77a6d639f659d9390423b654a6c405a6b2862ddfd3eb4406ffaf8b399c83b513
c7775a3ce32ce8936302f971e923bc3fa0dbde3fe48f4a8f4f816d0b803ff034
Rhysida
cf69493e7765f91f5ff07db0cdde50d377770978b5a4ffb6cab20c3a220acd92
6f810084ecb920565e9bcdea711bcc1e788d8372727725b0fc5cb2cc8909ea62
845d1aafefc1736a9efd6e09d307abc9953c40290f0fcb8f56c2001c0be599a5
d3ea67651720d26ade4837ffd6e0f8a5d8120491ef4719848fabb494e15d5a0a
d4bfdb76a3ea03dd31a96179394c1c453efd8a3694185a23b7b4ad5178b81e4a
6e289cbf5d7203cf43a35bbd09aec4818c97c9341ea890e160d386b1611fc09c
9cc63a1961f8bb4394b0963261e94f43000a4f8d9f6eb37a83608e401b5f608f
3c56482abfdd26a8fd0e5843557c28c2c7aa6d3e9d7cfef22c469e7ee7d18828
5818f60e9b4213231d97dc7e33f43cf823646da0e5552a9112e479dfcd87bc4b
8220a20a98173ddf2330fe08f84e603ce05bcb686b9caed134ac084a4c63d77a
9e88ac415d6823b48a2de3adf41979ffba16dbfaded7aa8a071ed0a36a211c64
6bfe06fd5e1d3df1a26770822c234eabadff8d7077b147ada48e74ade483a175
3a7b8c4762f3490794790a2e98377af7ed1438150e2d94b1809a7571bb05067d
0256c332fa0156ab7cbf3f44ecfe8e358616f533490f936294b246f9c56ceae3
0050a69d6e93eddcd1ea4b7e951945f8970e5700d9436238bde7f63d757988ae
LockBit
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e85d5b739c510bb3db9de81c11f09ad3eb6806e3362a9abc59ab75c679f8a1c4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baf54c7af3955552a324b4ffc16872a1cebc498a46c9cfb82b24bbd412e0aa6f
a003915423021c94c18ded624ac1a1dd393c0e8e94cf962999613ad638d7ed32
ALPHV/BlackCat
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7c4ce406a1755873a8b06add39e084dcf5de66351520a1bf254eb306972737d7
8eeb26a93c4073376ee489670a63951edf577ea604a86a8a16cbf99e6c9be8dd
c131187b15035868e43baa0c746c99e7da9e0d881a014b97f8e14b6e04e4d39e
5d78f460a633493b198134c75cc288f05d6ab6b030793bec8acb66c97d7134d9
db587901bf335ff024b9d468a0d9ab4c443e8289e58b25f849d21cfca0c38497
7a59bd57e7947b4c2beafe8c04ec145203a90192465f4df4a929075650b9520d
9f5c88b68508710dde3c9893dd7ae14de10ce4d749cef17bed90c446eb40a33a
8c69eec98181203617e36c90b7d37accd96f9fbb2c1d2379f49ef4c5c37b5bb9
f07c511d73520cab8aeb054e40580ed27310dbc12c5e114ca7a17edfe166ffe4
1f0668ecf40948f3d7bd839f26a016e608bb9c7c54a635cbdba8d1e2f93edbfd
908344f79ca6966e9d6f298b7d2b3584a2b0de0a3cd500d4da1dc51134d64e5c
b5bc11739c38bffbc234c95b35f5e237774303f1a0e48c76a62a56fe26fff53f
d6ad5842846c8bae68d05ab1520797346281fa10017666869d15726ae8da1e87
Qilin
41870d512f107c019caf0dcf3b36f38667e5979c74d7f8d3f526758f18bffb38
db7d2cf9e276307fd8b2ee68ff9ac1d500d9aa7fd305e23ed0fe188a7b5b54b9
cd9cceeee24d80862dfbed92a5730cbeebe5c376b1e60d6214016f31d402a45f
87c818abe58388b4ad7180640ff08d8ac988ea74eb7f540367f756c0e7f0780a
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ac1e24738db284fdc36fe5c6b1e7cfab1c773a4f60f178d4bfa45df487b599fe
4eac69e5cb9e4101d1eb76ec1e8cea128d3e10d577e28d7e954f72ba477214b8
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dbcad7f3121dd0ccbcac1315337b25789fa86ca976472bea0531762d87b801a3
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005a02b2294d897d9cfe1f4a517e083267a7c82e00063e4c51a14b53d774b760
MedusaRansomware
c8049e4fcd3dac8c64395fbe3a5d0bc962ff51be8f83cb924331b44ec715bced
37e88752e0c9a780507d5f41a287de8b29a3e2b6afefd02a44db5f2ef7a50ae0
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TheGentlemen
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2ed9494e9b7b68415b4eb151c922c82c0191294d0aa443dd2cb5133e6bfe3d5d
3ab9575225e00a83a4ac2b534da5a710bdcf6eb72884944c437b5fbe5c5c9235
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c7f7b5a6e7d93221344e6368c7ab4abf93e162f7567e1a7bcb8786cb8a183a73
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NetRunner
6c1f961b27a9ce4348dec24210c640471b74e23e19108770228251ebf6267106
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c663a516b286e6f791ec18fe85848d72b9f34e517ba949506a2a5c6999e56449
121d9e29c0c2d16241e206dceb5b9f07300cd8881e2ee51ecc434f5a94ad351b
0182fa149c967cb0cd5bba410ed6a6b74e243eecf60fcde315fccf81c4c8b743
d3ee457f1476e976415b00cbabb6d44f15f168eb811746f0be41c7f406cd3163
e3e411b55c859d05b834ebad44b9c984170deab09d1068134d504c72d8bff07a
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5a9e4ec588c14106664e66ad1da120cf49b5d4b22f0bda8bf5810123494fe20b
fcb362d60ee80a3c149a822f13f2278d62fed9f5c0e84b2869d6e928ad012c5e
d913c9ad8a62789d256419408f3bb591cb5778e0d33fe95ce9e7ed5ccd96c01e
9d566e97bed38f5b3cd4a5dacce6c003886d7fc180c36a1896aa0e09650fae58
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21c1b585d3b5b7ecfda570f57899914192a6dd25965ebd61fd67a1de3918471a
5c5b453ef5b0b6c9e3717865ad72d5a2c5dafa6435417daaad5fc96acdecaf1b
Genesis
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3e26e4300e90cb6e5fb2a77fb979a451aad8868bd603aee3d3486f21625e8a71
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Pay2Key
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Handala
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865347471135bb5459ad0e647e75a14ad91424b6f13a5c05d9ecd9183a8a1cf4
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