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Introduction: When Data Visualization Tools Become Security Gateways
Business intelligence platforms are designed to make data easier to understand. Organizations rely on them to turn complex datasets into dashboards, charts, and reports that guide decision-making. But when these tools integrate deeply with cloud infrastructure, they can also become powerful attack surfaces.
Security researchers recently uncovered a series of vulnerabilities in Google Looker Studio that illustrate this exact problem. The issues, collectively named LeakyLooker, revealed how a seemingly harmless analytics dashboard could be manipulated to access sensitive cloud databases.
The findings show that data visualization tools are no longer just reporting utilities. When misconfigured or vulnerable, they can become gateways to large-scale cloud data exposure.
Researchers Discover Nine Critical Vulnerabilities
Cybersecurity researchers from Tenable uncovered nine cross-tenant vulnerabilities within Google Looker Studio.
These flaws had the potential to allow attackers to extract, manipulate, or query sensitive data stored in multiple connected cloud services. Because Looker Studio acts as a bridge between dashboards and data sources, any weakness in its architecture could expose underlying systems.
The researchers collectively named the vulnerabilities LeakyLooker, highlighting the possibility of unintended data leakage across different tenants within cloud environments.
Looker Studio is widely used by businesses to transform raw data into interactive dashboards and visual reports. It connects to various sources such as:
Google BigQuery
Google Sheets
SQL-based databases including PostgreSQL and MySQL
Because the platform integrates deeply with cloud infrastructure, any weakness within it could create a broad and dangerous attack surface.
How the Attack Paths Worked
The research team discovered that the vulnerabilities originated from authentication handling and connector behavior within Looker Studio.
The platform allows reports to access data using two different credential models:
The report
The viewer’s credentials
While this flexibility enables collaboration and dynamic reporting, it also introduced two distinct exploitation paths.
0-Click Attacks Targeting Report Owners
In the first attack path, attackers could exploit server-side behavior to trigger SQL queries using the report owner’s authentication.
This means that malicious actors could potentially execute SQL commands against databases connected to the report without the owner performing any action.
Because the attack required no user interaction, it could become particularly dangerous in shared environments where reports are publicly accessible or embedded.
1-Click Attacks Targeting Viewers
The second attack path required minimal interaction from the victim.
A user simply opening a maliciously crafted report or link could unknowingly trigger SQL queries executed using their own credentials.
This type of attack could allow adversaries to extract data, manipulate records, or perform other database operations without the victim realizing what happened.
Technical Vulnerabilities Behind LeakyLooker
Several underlying flaws made these attacks possible.
One of the most critical was SQL injection vulnerabilities found within database connectors. By manipulating certain parameters, attackers could craft queries that executed directly against connected databases.
In addition, the researchers discovered data leakage vectors within report elements themselves.
Components such as:
Hyperlinks
Rendered images
Embedded report elements
could potentially be used to exfiltrate sensitive information.
Another issue involved what researchers called a denial-of-wallet attack targeting Google BigQuery resources. This attack could force expensive queries to run repeatedly, causing organizations to incur unexpectedly high cloud costs.
Cloud Services Potentially Affected
The vulnerabilities extended across multiple cloud connectors supported by Looker Studio.
Affected integrations included:
Google BigQuery
Google Cloud Spanner
PostgreSQL
MySQL
Google Sheets
Google Cloud Storage
Because these services often store critical operational data, the impact of exploitation could have been significant.
Attackers could theoretically search for publicly shared Looker Studio reports and use them as entry points to connected data sources.
From there, they might perform actions such as:
Extracting sensitive datasets
Modifying database records
Deleting tables or data
Executing arbitrary SQL queries
The Report Copy Credential Problem
One particularly concerning issue involved the report duplication feature.
When a viewer copied an existing report, the new copy sometimes preserved stored database credentials from the original configuration.
As a result, the new report owner could run custom SQL queries using the original authentication even without knowing the underlying database password.
This created a scenario where access to sensitive databases could be unintentionally transferred through report duplication.
Google’s Response and Patching Process
All nine vulnerabilities were responsibly disclosed to Google by Tenable.
After investigating the findings, Google implemented fixes across the Looker Studio platform.
Because Looker Studio operates as a fully managed cloud service, the patches were deployed automatically and globally. This means organizations using the platform do not need to manually update or patch systems.
Despite the fixes, the researchers emphasized that the vulnerabilities demonstrate a broader lesson for cloud security.
What Undercode Say:
The Hidden Risk of Analytics Platforms
Business intelligence tools are often treated as low-risk because they are designed primarily for data visualization rather than system administration. However, this perception is misleading.
In modern cloud ecosystems, BI platforms sit directly between users and raw data infrastructure. They have permission to query databases, retrieve information, and sometimes even modify data. This makes them extremely powerful.
When vulnerabilities appear inside these tools, attackers may gain indirect access to systems that would otherwise be heavily protected.
The Rise of Cross-Service Cloud Attacks
The LeakyLooker vulnerabilities highlight a growing trend in cybersecurity: cross-service attack chains.
Instead of targeting databases directly, attackers increasingly focus on intermediary platforms like analytics dashboards, automation services, or API gateways.
These platforms often aggregate access to multiple resources at once, making them attractive targets.
Compromising a single reporting tool could potentially expose several backend systems simultaneously.
Public Reports as Attack Entry Points
Many organizations publicly share dashboards with partners, clients, or the general public. These reports can sometimes include live database connections.
If attackers locate a public report and exploit vulnerabilities like those discovered in Looker Studio, they may gain unexpected pathways into private data infrastructure.
This turns something as simple as a public dashboard into a potential attack vector.
Credential Delegation Risks
The owner-viewer credential model used by Looker Studio demonstrates the complexity of access management in collaborative environments.
Delegated credentials can improve usability, but they also create confusion about who actually holds the power to execute queries.
If an attacker can trigger queries using someone
Organizations must carefully evaluate when tools should use viewer credentials versus owner credentials.
Cloud Cost Attacks Are Growing
The denial-of-wallet attack discovered in this research is another important trend.
Unlike traditional denial-of-service attacks that disrupt availability, denial-of-wallet attacks focus on financial damage.
By forcing expensive queries or compute operations, attackers can dramatically increase cloud costs.
For organizations heavily dependent on data warehouses like Google BigQuery, such attacks could lead to unexpected bills reaching thousands or even millions of dollars.
Security Must Include the Data Layer
Most security strategies focus on endpoints, networks, and application code. But as this research shows, data access layers also require strict oversight.
BI tools, analytics platforms, and reporting dashboards should be treated as critical infrastructure components, not just visualization tools.
Security teams should review:
Report sharing permissions
Connector configurations
Credential delegation settings
Query limitations
Ignoring these areas can leave hidden entry points into otherwise secure environments.
Why This Discovery Matters
Even though Google quickly patched the vulnerabilities, the discovery itself sends an important message.
Modern cloud platforms consist of complex ecosystems of interconnected services. Each connector, API, and integration introduces potential risks.
Organizations must expand their threat models to include every system that touches sensitive data, including tools designed primarily for analytics and reporting.
Fact Checker Results
✅ The vulnerabilities called LeakyLooker were discovered by researchers from Tenable.
✅ The issues affected Google Looker Studio and involved connectors to services like Google BigQuery.
✅ Google confirmed the issues and deployed patches across the managed platform.
Prediction
🔮 Analytics platforms will become a major focus for cloud security audits as organizations realize how much data access these tools control.
🔮 Future attacks will increasingly target data connectors and API integrations rather than core databases themselves.
🔮 Cloud providers like Google will likely introduce stronger permission models and monitoring tools for BI platforms to prevent similar vulnerabilities.
🕵️📝✔️Let’s dive deep and fact‑check.
References:
Reported By: www.infosecurity-magazine.com
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