CVE-2024-52313: CWE-639 Authorization Bypass Through User-Controlled Key in amazon data.all
An authenticated data.all user is able to manipulate a getDataset query to fetch additional information regarding the parent Environment resource that the user otherwise would not able to fetch by directly querying the object via getEnvironment in data.all.
AI Analysis
Technical Summary
CVE-2024-52313 is an authorization vulnerability identified in Amazon's data.all product, specifically version 1.0.0. The vulnerability arises due to improper authorization checks in the handling of getDataset queries. Authenticated users with data.all privileges can manipulate these queries to access additional information about the parent Environment resource, which they are not permitted to retrieve through the designated getEnvironment query. This indicates a failure in enforcing proper access control policies, classified under CWE-863 (Incorrect Authorization). The vulnerability has a CVSS 4.0 base score of 5.3, reflecting medium severity, with an attack vector that is network-based (AV:N), low attack complexity (AC:L), no privileges required beyond authentication (PR:L), and no user interaction needed (UI:N). The impact primarily affects confidentiality, as unauthorized data disclosure is possible, but it does not compromise integrity or availability. No known exploits are currently in the wild, and no patches have been publicly linked yet. The flaw could allow an attacker to escalate their data access privileges within the data.all environment, potentially exposing sensitive environment configuration or metadata that should remain restricted. This vulnerability requires organizations using Amazon data.all to review their access control mechanisms and query validation logic to prevent unauthorized data exposure.
Potential Impact
For European organizations, this vulnerability poses a risk of unauthorized disclosure of sensitive environment-related data within Amazon data.all deployments. Organizations relying on this product for managing or querying environment datasets could inadvertently expose confidential configuration or operational metadata to users who should not have such access. This could lead to information leakage that might facilitate further attacks or violate data protection regulations such as GDPR if personal or sensitive data is involved. While the vulnerability does not directly impact system integrity or availability, the confidentiality breach could undermine trust and compliance efforts. The medium severity score reflects a moderate risk, but the ease of exploitation and lack of required user interaction increase the likelihood of exploitation in environments where data.all is used. Organizations with complex cloud environments or multi-tenant setups are particularly at risk, as unauthorized data access could cross organizational boundaries. The absence of known exploits provides a window for proactive mitigation before active exploitation occurs.
Mitigation Recommendations
European organizations should implement the following specific mitigations: 1) Conduct a thorough audit of current access control policies within Amazon data.all, focusing on the permissions granted to authenticated users and the scope of data accessible via getDataset and getEnvironment queries. 2) Implement strict input validation and query parameter sanitization to prevent manipulation of getDataset queries that could bypass authorization checks. 3) Monitor and log all getDataset and getEnvironment query requests to detect anomalous access patterns indicative of exploitation attempts. 4) Engage with Amazon support or security advisories to obtain patches or updates addressing this vulnerability as soon as they become available. 5) Temporarily restrict data.all user privileges to the minimum necessary until a fix is applied, especially in environments handling sensitive or regulated data. 6) Integrate this vulnerability into the organization's risk management and incident response plans to ensure rapid detection and response if exploitation is suspected. 7) Educate developers and administrators on the importance of enforcing authorization checks consistently across all API endpoints and query interfaces.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Ireland, Italy
CVE-2024-52313: CWE-639 Authorization Bypass Through User-Controlled Key in amazon data.all
Description
An authenticated data.all user is able to manipulate a getDataset query to fetch additional information regarding the parent Environment resource that the user otherwise would not able to fetch by directly querying the object via getEnvironment in data.all.
AI-Powered Analysis
Technical Analysis
CVE-2024-52313 is an authorization vulnerability identified in Amazon's data.all product, specifically version 1.0.0. The vulnerability arises due to improper authorization checks in the handling of getDataset queries. Authenticated users with data.all privileges can manipulate these queries to access additional information about the parent Environment resource, which they are not permitted to retrieve through the designated getEnvironment query. This indicates a failure in enforcing proper access control policies, classified under CWE-863 (Incorrect Authorization). The vulnerability has a CVSS 4.0 base score of 5.3, reflecting medium severity, with an attack vector that is network-based (AV:N), low attack complexity (AC:L), no privileges required beyond authentication (PR:L), and no user interaction needed (UI:N). The impact primarily affects confidentiality, as unauthorized data disclosure is possible, but it does not compromise integrity or availability. No known exploits are currently in the wild, and no patches have been publicly linked yet. The flaw could allow an attacker to escalate their data access privileges within the data.all environment, potentially exposing sensitive environment configuration or metadata that should remain restricted. This vulnerability requires organizations using Amazon data.all to review their access control mechanisms and query validation logic to prevent unauthorized data exposure.
Potential Impact
For European organizations, this vulnerability poses a risk of unauthorized disclosure of sensitive environment-related data within Amazon data.all deployments. Organizations relying on this product for managing or querying environment datasets could inadvertently expose confidential configuration or operational metadata to users who should not have such access. This could lead to information leakage that might facilitate further attacks or violate data protection regulations such as GDPR if personal or sensitive data is involved. While the vulnerability does not directly impact system integrity or availability, the confidentiality breach could undermine trust and compliance efforts. The medium severity score reflects a moderate risk, but the ease of exploitation and lack of required user interaction increase the likelihood of exploitation in environments where data.all is used. Organizations with complex cloud environments or multi-tenant setups are particularly at risk, as unauthorized data access could cross organizational boundaries. The absence of known exploits provides a window for proactive mitigation before active exploitation occurs.
Mitigation Recommendations
European organizations should implement the following specific mitigations: 1) Conduct a thorough audit of current access control policies within Amazon data.all, focusing on the permissions granted to authenticated users and the scope of data accessible via getDataset and getEnvironment queries. 2) Implement strict input validation and query parameter sanitization to prevent manipulation of getDataset queries that could bypass authorization checks. 3) Monitor and log all getDataset and getEnvironment query requests to detect anomalous access patterns indicative of exploitation attempts. 4) Engage with Amazon support or security advisories to obtain patches or updates addressing this vulnerability as soon as they become available. 5) Temporarily restrict data.all user privileges to the minimum necessary until a fix is applied, especially in environments handling sensitive or regulated data. 6) Integrate this vulnerability into the organization's risk management and incident response plans to ensure rapid detection and response if exploitation is suspected. 7) Educate developers and administrators on the importance of enforcing authorization checks consistently across all API endpoints and query interfaces.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- AMZN
- Date Reserved
- 2024-11-06T21:02:34.355Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68ee9ff531414aa8fc5df09d
Added to database: 10/14/2025, 7:09:41 PM
Last enriched: 10/14/2025, 7:21:02 PM
Last updated: 10/16/2025, 9:42:09 AM
Views: 6
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