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Grafana Labs

Grafana Labs Vendor Cyber Rating & Cyber Score

grafana.com

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale, enabling organizations to see, understand, and act on all their disparate data so they can move at the speed of their ambitions. Today, more than 25 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,400+ team members across 40+ countries, and we’re


Grafana Labs A.I CyberSecurity Scoring

Grafana Labs
Company Information
Website:https://grafana.com
Employees number:1,772
Number of followers:258,334
NAICS:5112
Industry Type:Software Development
Homepage:grafana.com
Grafana Labs Risk Score (AI oriented)
Between 600 and 649
logo
Grafana LabsSoftware Development
Updated:
19/05/2026
601/1000
Poor
Caa
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Grafana Labs Global Score (TPRM)
xxxx
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Grafana LabsSoftware Development
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Vulnerabilities
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Findings

Grafana Labs
Grafana LabsPoor
Current Score
601Caa (POOR)
01000
6 incidents
-32.75 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
606Before Incident
JUNE 2026
606Before Incident
MAY 2026
662Before Incident
Breach
17 May 2026Grafana Labs
Grafana: Grafana GitHub Token Breach Led to Codebase Download and Extortion Attempt

Grafana GitHub Breach After Extortion Attempt by CoinbaseCartel

601After Incident
MEDIUM-61
GRA1779006227
Grafana Discloses GitHub Breach After Extortion Attempt by CoinbaseCartel Grafana recently revealed that an unauthorized party gained access to its GitHub environment using a compromised token, allowing the attacker to download the company’s codebase. The incident, discovered "recently," did not expose customer data or disrupt operations, according to Grafana’s statement on X. The company swiftly invalidated the compromised credentials, conducted a forensic investigation, and implemented additional security measures to prevent further unauthorized access. The attacker attempted to extort Grafana, demanding payment to prevent the stolen data from being published. Grafana refused, citing FBI guidance against ransom payments, which warns that such transactions fail to guarantee data recovery and embolden cybercriminals. The breach has not been linked to a specific threat actor, though reports from Hackmanac and Ransomware.live attribute the attack to CoinbaseCartel, a data extortion group that emerged in September 2025. CoinbaseCartel, assessed as an offshoot of ShinyHunters, Scattered Spider, and LAPSUS$, specializes in data theft and extortion rather than traditional ransomware. The group has targeted 170 victims across sectors including healthcare, technology, and manufacturing. While Grafana has not disclosed which codebase was accessed, its portfolio includes solutions like Grafana Cloud, a managed observability platform. The incident follows a recent controversial decision by Instructure, an edtech firm, to pay ShinyHunters after the group threatened to leak terabytes of data from U.S. schools and universities. Grafana has not provided further details on the timeline of the breach or the attacker’s access duration.
INCIDENT DETAILS -
TYPE
Data Breach and Extortion
MOTIVATION
Extortion
IMPACT
Data Compromised: Company codebaseSystems Affected: GitHub environmentOperational Impact: No disruption to operations
DATA BREACH
Type Of Data Compromised: Source codeData Exfiltration: Codebase downloadedPersonally Identifiable Information: None
APRIL 2026
663Before Incident
Vulnerability
07 Apr 2026Grafana Labs
Grafana: GrafanaGhost: Attackers Can Abuse Grafana to Leak Enterprise Data

GrafanaGhost Vulnerability Exposes Enterprise Data via AI Exploitation

659After Incident
CRITICAL-4
GRA1775573897
GrafanaGhost Vulnerability Exposes Enterprise Data via AI Exploitation Researchers at Noma Security have uncovered a critical vulnerability, dubbed GrafanaGhost, in Grafana’s AI components that could allow attackers to bypass security safeguards and exfiltrate sensitive enterprise data without user interaction. Grafana, an open-source analytics and visualization platform, often integrates with enterprise systems, granting it access to financial metrics, infrastructure logs, customer data, and telemetry. The flaw enables threat actors to exploit the platform’s AI-based features by crafting malicious prompts that trick the system into leaking data to external servers. ### How the Attack Works 1. Initial Access: An attacker targets Grafana’s AI companion by embedding a malicious prompt in an entry log, disguised as a legitimate request. 2. Bypass Safeguards: Using the keyword "intent," the attacker circumvents AI guardrails designed to block image markdown injections. 3. Data Exfiltration: The AI companion is tricked into rendering an external image, sending sensitive data such as internal URLs or stored prompts to the attacker’s server as a URL parameter. 4. Stealth Operation: The exfiltration occurs in the background, making it appear as routine data visualization to security teams. Noma Security demonstrated that attackers could guess Grafana’s data structure to fake paths and abuse image tags for data theft. While Grafana has protections against external image loading, a flaw in URL validation allowed the bypass. ### Response & Industry Perspective Grafana patched the vulnerability immediately after being notified. However, experts note that exploitability depends on deployment specifics, such as whether AI features are enabled and egress controls are in place. - Bradley Smith (BeyondTrust) emphasized that while indirect prompt injection is a known attack vector, its success against hardened Grafana deployments varies. - Ram Varadarajan (Acalvio) warned that AI adoption has expanded the attack surface, requiring network-level URL blocking and runtime behavioral monitoring to detect malicious AI activity. The incident underscores the growing risks of AI-driven tools processing untrusted input, reinforcing the need for layered security beyond traditional perimeter defenses.
INCIDENT DETAILS -
TYPE
Data Exfiltration
IMPACT
Data Compromised: Sensitive enterprise data (financial metrics, infrastructure logs, customer data, telemetry, internal URLs, stored prompts)Systems Affected: Grafana AI components
DATA BREACH
Type Of Data Compromised: Enterprise data (financial metrics, infrastructure logs, customer data, telemetry, internal URLs, stored prompts)Sensitivity Of Data: High
MARCH 2026
662Before Incident
FEBRUARY 2026
661Before Incident
JANUARY 2026
657Before Incident
DECEMBER 2025
654Before Incident
NOVEMBER 2025
657Before Incident
Vulnerability
04 Nov 2025Grafana Labs
Grafana Labs

Grafana Enterprise Privilege Escalation Vulnerability (CVE-2025-41115)

652After Incident
CRITICAL-5
GRA2792027112125
Grafana Labs disclosed a critical vulnerability (CVE-2025-41115) in its Grafana Enterprise product, enabling privilege escalation or impersonation of administrators when SCIM provisioning is misconfigured. The flaw arises from improper mapping of the `externalId` SCIM attribute to Grafana’s internal `user.uid`, allowing attackers to assign numeric IDs (e.g., `"1"`) to provisioned users, effectively granting them admin-level access. While exploitation requires both `enableSCIM` and `user_sync_enabled` to be active—a feature in Public Preview—the risk is severe due to Grafana’s widespread use across enterprises for data visualization and monitoring.The vulnerability affects versions 12.0.0 to 12.2.1 (excluding OSS and patched Cloud services). Grafana Labs confirmed no active exploitation in its Cloud environment but urged self-managed users to upgrade to versions 12.3.0, 12.2.1, 12.1.3, or 12.0.6 or disable SCIM. The flaw was internally discovered on November 4, patched within 24 hours, and publicly disclosed on November 19. Prior scanning activity for older Grafana flaws (e.g., path traversal) suggests potential reconnaissance for targeting this new vulnerability.Failure to patch could allow attackers to compromise administrative accounts, leading to unauthorized dashboard access, data manipulation, or lateral movement within enterprise networks. Given Grafana’s role in operational analytics, exploitation could disrupt monitoring, alerting, or compliance reporting, with cascading effects on security posture and incident response.
INCIDENT DETAILS -
TYPE
VulnerabilityPrivilege EscalationImpersonation
IMPACT
Grafana Enterprise (Self-Managed)Potential Unauthorized Administrative AccessImpersonation RiskPotential Erosion of Trust Due to Privilege Escalation Risk
OCTOBER 2025
656Before Incident
SEPTEMBER 2025
713Before Incident
Breach
01 Sep 2025Grafana Labs
Grafana Labs: Grafana says stolen GitHub token let hackers steal codebase

Grafana Labs Source Code Stolen in GitHub Breach by CoinbaseCartel Extortion Gang

652After Incident
MEDIUM-61
GRA1779114321
Grafana Labs Source Code Stolen in GitHub Breach by CoinbaseCartel Extortion Gang Grafana Labs, the company behind the widely used open-source analytics and monitoring platform Grafana, confirmed that hackers breached its GitHub environment and downloaded its source code. The attack was carried out using a stolen access token, with no evidence that customer data or personal information was exposed. The company also stated that customer systems remained unaffected. The breach was claimed by CoinbaseCartel, a relatively new extortion gang that added Grafana to its data leak site (DLS) as leverage for ransom demands. However, no stolen data has been published yet. Grafana, which serves over 7,000 organizations including 70% of Fortune 50 companies refused to pay the ransom, citing FBI guidance that discourages payments to prevent further criminal activity. Grafana’s forensic investigation traced the breach to compromised credentials, which were subsequently invalidated. The company has implemented additional security measures and plans to release further details after completing its post-incident review. CoinbaseCartel, active since September 2023, has listed over 100 victims on its extortion portal this year. The gang, believed to include affiliates of ShinyHunters and Lapsus$, gains access through phishing, social engineering, and stolen credentials. Researchers also link the group to the deployment of "shinysp1d3r", an in-memory tool used to encrypt VMware ESXi systems and disable snapshots. The incident highlights the growing threat of extortion-focused cybercrime groups targeting high-profile tech companies.
INCIDENT DETAILS -
TYPE
Extortion, Source Code Theft
MOTIVATION
Extortion, Financial gain
IMPACT
Data Compromised: Source codeSystems Affected: GitHub environment
DATA BREACH
Type Of Data Compromised: Source codeData Exfiltration: Yes (downloaded by threat actor)Personally Identifiable Information: No
AUGUST 2025
713Before Incident
MAY 2025
713Before Incident
Vulnerability
21 May 2025Grafana Labs
Grafana Labs

Grafana Ghost Vulnerability (CVE-2025-4123)

709After Incident
CRITICAL-4
GRA600061525
More than 46,000 internet-facing Grafana instances remain unpatched and exposed to a client-side open redirect vulnerability that allows executing a malicious plugin and account takeover. The flaw, tracked as CVE-2025-4123, impacts multiple versions of the open-source platform used for monitoring and visualizing infrastructure and application metrics. Despite security updates released on May 21, a significant number of instances remain vulnerable, posing a risk to user sessions and account credentials.
INCIDENT DETAILS -
TYPE
Vulnerability Exploitation
MOTIVATION
Account takeover, execution of malicious plugins
IMPACT
Systems Affected: 46,506 Grafana instances
JANUARY 2025
767Before Incident
Breach
01 Jan 2025Grafana Labs
Grafana: 7-Eleven Data Breach Confirmed After ShinyHunters Ransom Demand

Grafana Source Code Theft in Cyberattack Linked to Coinbase Cartel

708After Incident
LOW-59
GRA1779201402
Grafana Confirms Source Code Theft in Cyberattack Linked to Coinbase Cartel Grafana, the open-source analytics and visualization platform, confirmed a security breach after attackers accessed its GitHub environment using a compromised token. The incident, detected in early 2026, resulted in the theft of source code, though the company stated that no customer or personal data was exposed, and operations remained unaffected. The attack has been attributed to Coinbase Cartel, a cybercrime group with ties to ShinyHunters, Scattered Spider, and Lapsus$. The threat actors demanded a ransom to prevent the leaked code from being published, but Grafana refused to comply. Coinbase Cartel has been active since 2025, orchestrating a series of high-profile data theft campaigns targeting organizations across multiple sectors. While the breach did not disrupt Grafana’s services, the incident underscores the persistent threat posed by financially motivated cybercriminal groups leveraging stolen credentials to infiltrate development environments.
INCIDENT DETAILS -
TYPE
Source Code Theft
MOTIVATION
Financial Gain
IMPACT
Data Compromised: Source codeSystems Affected: GitHub environmentOperational Impact: None
DATA BREACH
Type Of Data Compromised: Source codeSensitivity Of Data: Low (no customer or personal data)Data Exfiltration: YesPersonally Identifiable Information: No

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