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MongoDB

MongoDB Vendor Cyber Rating & Cyber Score

mongodb.com

Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our modern database platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.


MongoDB A.I CyberSecurity Scoring

MongoDB
Company Information
Website:http://www.mongodb.com
Employees number:8,042
Number of followers:925,601
NAICS:5112
Industry Type:Software Development
Homepage:mongodb.com
MongoDB Risk Score (AI oriented)
Between 0 and 549
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MongoDBSoftware Development
Updated:
05/07/2026
483/1000
Critical
C
AaaAaABaaBaBCaaCaC
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MongoDB Global Score (TPRM)
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MongoDBSoftware Development
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MongoDB
MongoDBCritical
Current Score
483C (CRITICAL)
01000
8 incidents
-45 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
483Before Incident
JUNE 2026
481Before Incident
MAY 2026
472Before Incident
Vulnerability
14 May 2026MongoDB
MongoDB: Critical MongoDB Vulnerability Allow Attackers to Execute Arbitrary Code

Critical MongoDB Vulnerability (CVE-2026-8053) Enables Remote Code Execution

469After Incident
CRITICAL-3
MON1778739818
Critical MongoDB Vulnerability (CVE-2026-8053) Enables Remote Code Execution A newly disclosed critical vulnerability in MongoDB, tracked as CVE-2026-8053, allows threat actors to execute arbitrary code on affected servers, potentially granting full control over systems and exposing sensitive data. The flaw impacts MongoDB Server deployments, a widely used database platform in enterprise environments. If exploited, attackers could deploy ransomware, exfiltrate data to dark web marketplaces, or establish persistent backdoor access. MongoDB’s security team discovered the issue internally and has already patched Atlas-managed cloud instances, requiring no action from Atlas users. However, organizations running self-hosted MongoDB deployments must apply updates immediately to mitigate risk. While there is currently no evidence of active exploitation, the public disclosure of the vulnerability increases the likelihood of threat actors reverse-engineering the patch to develop exploits. MongoDB has released fixes for all supported versions (5.0 and later), available via the official Community Edition download page. Security teams are advised to audit their environments for vulnerable instances, monitor logs for suspicious activity, and prioritize patching.
INCIDENT DETAILS -
TYPE
Vulnerability
IMPACT
Data Compromised: Sensitive dataSystems Affected: MongoDB Server deployments
DATA BREACH
Sensitivity Of Data: Sensitive dataData Exfiltration: Potential data exfiltration to dark web marketplaces
APRIL 2026
469Before Incident
MARCH 2026
457Before Incident
Vulnerability
05 Mar 2026MongoDB
MongoDB: Cyber Security News ®’s Post

Critical MongoDB Vulnerability (CVE-2026-25611) Enables Server Crashes via Low-Bandwidth Attacks

454After Incident
CRITICAL-3
MON1772720630
Critical MongoDB Vulnerability (CVE-2026-25611) Enables Server Crashes via Low-Bandwidth Attacks A high-severity vulnerability (CVE-2026-25611, CVSS 7.5) has been identified in MongoDB, allowing unauthenticated attackers to crash exposed servers with minimal effort. The flaw affects all MongoDB versions where compression is enabled including versions 3.4 and later, with compression active by default since version 3.6 as well as MongoDB Atlas. Exploiting the vulnerability requires sending a small 47KB zlib-compressed packet while falsely declaring an uncompressed size of 48MB. This triggers a server crash, disrupting operations for affected deployments. The issue poses a risk to organizations relying on MongoDB for data storage, particularly those with internet-exposed instances. No active exploitation has been reported at this time, but the ease of triggering the flaw raises concerns about potential widespread abuse. MongoDB users are advised to monitor for official patches and mitigation guidance.
INCIDENT DETAILS -
TYPE
Denial of Service (DoS)
IMPACT
Systems Affected: MongoDB servers with compression enabledDowntime: Server crashes disrupting operationsOperational Impact: Disruption of data storage and retrieval operations
FEBRUARY 2026
619Before Incident
Ransomware
02 Feb 2026MongoDB
MongoDB: Hackers Wipe MongoDB Databases and Leave Ransom Notes in Active Attacks

MongoDB Ransomware Campaign Resurfaces, Targeting Thousands of Exposed Databases

449After Incident
CRITICAL-170
MON1770164849
MongoDB Ransomware Campaign Resurfaces, Targeting Thousands of Exposed Databases A resurgent ransomware campaign is exploiting misconfigured MongoDB databases worldwide, with attackers automating attacks to wipe data and demand Bitcoin payments. The threat, which first emerged between 2017 and 2021, has never fully disappeared security researchers confirmed its persistence in late 2025 after deploying honeypot servers that were compromised within days. The attack targets internet-exposed MongoDB instances lacking authentication, typically listening on port 27017. Threat actors use automated scripts to scan for vulnerable databases, copy their contents, wipe all data, and leave a ransom note demanding roughly $500 USD in Bitcoin within 48 hours. Analysis of 200,000 publicly discoverable MongoDB servers revealed that 3,100 were fully exposed without authentication, with 1,416 already compromised. Nearly all ransom notes referenced one of five Bitcoin wallets, with a single address linked to over 98% of attacks, pointing to a dominant threat actor. Security experts warn against paying ransoms, as victims frequently receive no data recovery attackers often fail to retain stolen data. Despite this, the campaign’s potential revenue could reach $842,000 USD if even a fraction of demands are met. Dark web forums host tutorials promoting the attack as a low-effort income source, while insecure MongoDB configurations in container images (including 763 on Docker Hub and GitHub) and leaked credentials (8,954 validated) further fuel the threat. The persistence of these vulnerabilities highlights ongoing risks from poor deployment practices.
INCIDENT DETAILS -
TYPE
Ransomware
MOTIVATION
Financial gain
IMPACT
Financial Loss: Potential revenue of $842,000 USD if ransoms are paidData Compromised: Data wiped and copied before ransom demandSystems Affected: 3,100 fully exposed MongoDB servers without authentication, 1,416 already compromisedOperational Impact: Data loss and disruption of database services
DATA BREACH
Type Of Data Compromised: Database contentsData Exfiltration: YesData Encryption: No (data wiped, not encrypted)
JANUARY 2026
618Before Incident
DECEMBER 2025
619Before Incident
Vulnerability
26 Dec 2025MongoDB
MongoDB: MongoDB warns admins to patch severe vulnerability immediately

MongoDB High-Severity Memory-Read Vulnerability (CVE-2025-14847)

615After Incident
CRITICAL-4
MON1766765150
MongoDB Urges Immediate Patching for High-Severity Memory-Read Vulnerability (CVE-2025-14847) MongoDB has issued an urgent warning to administrators to patch a high-severity memory-read vulnerability (CVE-2025-14847) that could allow unauthenticated attackers to remotely exploit affected systems. The flaw, present in multiple MongoDB Server versions, enables low-complexity attacks without requiring user interaction. The vulnerability stems from improper handling of length parameter inconsistencies in the server’s zlib implementation, potentially exposing uninitialized heap memory. While initially suspected of enabling remote code execution (RCE), MongoDB has clarified that the flaw has not been officially classified as such. However, under certain conditions, it could still pose a risk of arbitrary code execution or device compromise. MongoDB recommends immediate upgrades to fixed versions—8.2.3, 8.0.17, 7.0.28, 6.0.27, 5.0.32, or 4.4.30—to mitigate the threat. For those unable to patch immediately, disabling zlib compression via server configuration is advised. Affected Versions: - MongoDB 8.2.0–8.2.3, 8.0.0–8.0.16, 7.0.0–7.0.26, 6.0.0–6.0.26, 5.0.0–5.0.31, 4.4.0–4.4.29 - All versions of MongoDB Server 4.2, 4.0, and 3.6 MongoDB, a widely used non-relational database management system, serves over 62,500 customers globally, including numerous Fortune 500 companies. The advisory follows a 2021 CISA directive that flagged a separate MongoDB-related RCE flaw (CVE-2019-10758) as actively exploited, underscoring the platform’s ongoing security challenges.
INCIDENT DETAILS -
TYPE
Memory-Read Vulnerability
IMPACT
Data Compromised: Uninitialized heap memorySystems Affected: MongoDB Server versions 8.2.0-8.2.3, 8.0.0-8.0.16, 7.0.0-7.0.26, 6.0.0-6.0.26, 5.0.0-5.0.31, 4.4.0-4.4.29, and all v4.2, v4.0, v3.6 versionsOperational Impact: Potential arbitrary code execution and control of targeted devices
DATA BREACH
Type Of Data Compromised: Uninitialized heap memory
NOVEMBER 2025
616Before Incident
OCTOBER 2025
613Before Incident
SEPTEMBER 2025
609Before Incident
AUGUST 2025
606Before Incident
DECEMBER 2023
551Before Incident
Breach
01 Dec 2023MongoDB
MongoDB

MongoDB Corporate Systems Hack

498After Incident
CRITICAL-53
MON22229124
The database software provider MongoDB has revealed that its corporate systems were the target of a criminal hack and has issued a warning that contact details and metadata related to client accounts were among the stolen material. Later, the business acknowledged that the hackers had been within its networks for a while before being discovered. Lena Smart, the chief information security officer of MongoDB, informed clients that there was no known risk to the data stored by users of the company's popular MongoDB Atlas product. The business withheld any further details regarding the compromise.
INCIDENT DETAILS -
TYPE
Data Breach
IMPACT
contact detailsmetadata related to client accountscorporate systems
DATA BREACH
contact detailsmetadata related to client accounts
MAY 2021
653Before Incident
Ransomware
01 May 2021MongoDB
MongoDB and Elasticsearch: New Research Reveals 62% of Database Ransom Wallets Were Never Paid

Industrial-Scale Database Extortion: A Five-Year Census Reveals Massive Damage with Minimal Payoff

249After Incident
CRITICAL-404
MONELA1783283101
Industrial-Scale Database Extortion: A Five-Year Census Reveals Massive Damage with Minimal Payoff A five-year investigation by the Ransomnews Research Team uncovered a staggering scale of exposed databases on the public internet 65,907 instances with 46.3% (30,515) already compromised by ransom or wipe attacks. The study, conducted between May 2021 and May 2026, traced 514 distinct Bitcoin wallets linked to these attacks, revealing a stark imbalance: 62% of wallets received no payments, yet the damage an estimated 215 billion records destroyed or exfiltrated was already done. ### Key Findings - Exposure = Compromise: Nearly 100% of exposed MongoDB, MySQL, Elasticsearch, and Kibana instances carried ransom notes when observed, proving that unsecured databases are almost immediately targeted. - Automated, Low-Effort Attacks: A single Bitcoin wallet appeared in 1,283 ransom notes across 49 countries, demanding 0.01 BTC (~$760) a clear sign of scripted, volume-driven extortion. - Concentrated Profits: Of the 9.78 BTC (~$753,000) paid across five years, the top 10 wallets captured 43%, while the top 50 took 82.8%. Most operators earn little, but a few dominate the profitable end. - Shift from Destruction to Extortion: Early "wiper" attacks (like the 2020 Meow campaign) have nearly vanished, replaced by ransom notes even if most victims don’t pay. ### How the Attacks Work - Industrial-Scale Scripts: Attackers scan for open database ports, drop templated ransom notes (e.g., read_me_to_recover, btc_ransom_note), and move on. Payment is optional; the damage is not. - Disposable Infrastructure: High-volume contact emails (e.g., [email protected]) pair with the same wallets across thousands of attacks, suggesting a small group of operators reusing tools. - Global Distribution: The most affected countries China (11,874), U.S. (4,194), Germany (2,026) reflect cloud-hosting density rather than targeted negligence. ### The Bigger Picture Database extortion remains an overlooked corner of ransomware, lacking the branding of high-profile groups. Yet, its impact is severe: exposed databases are compromised within hours, and even when ransoms go unpaid, the data loss is irreversible. The economics are brutal $25 per ransom-marked database but the operational harm is vast. The lesson for defenders is clear: unsecured databases are not at risk they are already compromised.
INCIDENT DETAILS -
TYPE
Ransomware/Extortion
MOTIVATION
Financial gain (ransom payments), data destruction/exfiltration
IMPACT
Financial Loss: ~$753,000 (9.78 BTC) paid in ransoms over five yearsData Compromised: 215 billion records destroyed or exfiltratedSystems Affected: 65,907 exposed databases, 30,515 compromisedOperational Impact: Irreversible data loss, compromised databases
DATA BREACH
Personally identifiable informationGeneral database recordsNumber Of Records Exposed: 215 billionSensitivity Of Data: High (varies by database)Database files (MongoDB, MySQL, Elasticsearch, Kibana)
JANUARY 2021
748Before Incident
Ransomware
01 Jan 2021MongoDB
MongoDB and Unknown Organizations: Exposed MongoDB instances still targeted in data extortion attacks

Automated Ransom Attacks Target Exposed MongoDB Instances

639After Incident
CRITICAL-109
MONUNK1769964108
Automated Ransom Attacks Target Exposed MongoDB Instances A threat actor is conducting automated data extortion attacks against misconfigured MongoDB databases, compromising around 1,400 exposed servers and demanding ransoms of approximately $500 in Bitcoin to restore deleted data. These attacks, reminiscent of a surge in similar incidents prior to 2021, exploit poorly secured instances with unrestricted access. Researchers at Flare identified 208,500 publicly exposed MongoDB servers, with 3,100 accessible without authentication. Nearly 46% of these unsecured databases had already been wiped and replaced with ransom notes, most demanding 0.005 BTC (≈$500–600) within 48 hours. Analysis revealed that 98% of ransom notes used the same Bitcoin wallet address, suggesting a single attacker behind the campaign. While the threat actor claims to restore data upon payment, there is no guarantee they retain the information or will provide decryption keys. Beyond authentication flaws, nearly 95,000 exposed instances were found running outdated MongoDB versions vulnerable to known exploits, though most flaws were limited to denial-of-service rather than remote code execution. Despite the high number of exposed servers, some may have already been targeted and paid ransoms, explaining why they remained uncompromised during Flare’s investigation. The findings underscore the risks of improperly secured MongoDB deployments, particularly those left publicly accessible without strong authentication or network restrictions.
INCIDENT DETAILS -
TYPE
Ransomware
MOTIVATION
Financial gain (data extortion)
IMPACT
Data Compromised: Data deleted and replaced with ransom notesSystems Affected: 1,400 exposed MongoDB serversOperational Impact: Data loss and potential business disruption
DATA BREACH
Type Of Data Compromised: Database contents (unspecified)Data Exfiltration: No evidence of data exfiltration (only deletion and ransom notes)Data Encryption: Data deleted, not encrypted
JUNE 2017
787Before Incident
Ransomware
16 Jun 2017MongoDB
DragonForce and MongoDB: From Cipher to Fear: The psychology behind modern ransomware extortion

Ransomware in 2025: The Evolution from Encryption to Industrial-Scale Extortion

696After Incident
CRITICAL-91
DRAMON1769536327
Ransomware in 2025: The Evolution from Encryption to Industrial-Scale Extortion In 2025, ransomware has transformed from a technical threat into a sophisticated extortion ecosystem, rendering traditional defenses like backup restoration insufficient. Following major takedowns of groups like LockBit and BlackSuit in 2024, the landscape fragmented into decentralized, collaborative operations. Affiliates now move fluidly between brands, sharing tools and access brokers, making attribution and disruption far harder while maintaining severe impact on victims. ### The Extortion Spectrum: Beyond Double Extortion Modern ransomware campaigns now deploy a spectrum of tactics optimized for scale, leverage, and resilience. Groups like Qilin, Akira, SafePay, INC, and Lynx formalized the classic double-extortion model stealing data, encrypting systems, and threatening public disclosure while framing ransom demands as "risk mitigation" to exploit legal and reputational fears. Cl0p refined encryption-less extortion at industrial scale, exploiting supply-chain vulnerabilities to exfiltrate data from hundreds of victims simultaneously. Meanwhile, DragonForce and RansomHub demonstrated the durability of cartel-style operations, where shared infrastructure sustains extortion even as groups rebrand or dissolve. ### Targeting SMBs in High-Regulation Regions Research into SafePay ransomware revealed a deliberate shift toward small and mid-sized businesses (SMBs) in high-GDP, high-regulation regions like the U.S. and Germany. Over 90% of SafePay’s 500+ victims were SMBs service-based companies with enough resources to pay but insufficient resilience to withstand downtime or public exposure. Regulatory frameworks like GDPR, NIS2, and HIPAA amplify the cost of breaches, making extortion more lucrative than encryption alone. ### The Psychological Playbook: Weaponizing Fear Ransomware groups now employ scripted coercion tactics to manipulate victims, even in low-tech campaigns. MongoDB ransom operations, active since 2017, illustrate this shift. Attackers exploit misconfigured, internet-exposed databases, dump or delete data, and leave ransom notes demanding small payments prioritizing psychological pressure over technical sophistication. Key psychological tactics include: - Surveillance & Awareness – Creating perceived omniscience ("We are aware you’ve accessed this guide"). - Artificial Time Pressure – Escalating deadlines to force impulsive decisions. - Legal & Regulatory Fear – Framing ransom as cheaper than GDPR fines or lawsuits. - Reputation Blackmail – Threatening leaks to media, competitors, or regulators. - Internal Hierarchy Pressure – Isolating technical staff to prevent escalation. ### Defensive Shifts for Security Teams To counter exposure-focused ransomware, organizations must: 1. Integrate legal and communications teams into incident response, preparing breach notifications and regulatory disclosures as first-line defenses. 2. Train staff to resist psychological tactics, fostering an environment where security incidents can be reported without fear of blame. 3. Prioritize vulnerability management using threat intelligence to focus on actively exploited CVEs. 4. Conduct targeted configuration audits for high-risk misconfigurations, such as unauthenticated databases. ### The New Reality: Extortion Over Encryption Modern ransomware is defined by leverage stolen data, regulatory exposure, and psychological coercion rather than malware. From industrial-scale operations to low-tech campaigns, attackers optimize for speed, scale, and pressure. For security teams, this means evolving beyond recovery-focused playbooks to proactive risk mitigation, including external exposure monitoring, configuration hardening, and credential leak detection. The threat is no longer just technical; it’s a human and legal crisis.
INCIDENT DETAILS -
TYPE
Ransomware
MOTIVATION
Financial gainExtortionReputational damageRegulatory leverage
IMPACT
Operational Impact: SevereBrand Reputation Impact: HighLegal Liabilities: High (GDPR, NIS2, HIPAA violations)
DATA BREACH
Personally identifiable informationSensitive business dataSensitivity Of Data: HighPartial (ransomware strains)None (encryption-less extortion)

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MongoDB Cyber Scoring History | Rankiteo