CVE-2024-52312: CWE-863 Incorrect Authorization in amazon data.all
Due to inconsistent authorization permissions, data.all may allow an external actor with an authenticated account to perform restricted operations against DataSets and Environments.
AI Analysis
Technical Summary
CVE-2024-52312 identifies an authorization vulnerability in Amazon's data.all product, specifically version 1.0.0. The root cause is inconsistent authorization permissions (CWE-863), which allow an authenticated user with limited privileges to perform operations that should be restricted on DataSets and Environments. This flaw arises because the system fails to properly enforce access control checks before allowing certain actions, potentially enabling privilege escalation within the application context. The CVSS 4.0 vector indicates the attack can be performed remotely (AV:N) with low complexity (AC:L), without requiring additional privileges beyond authentication (PR:L), and no user interaction (UI:N). The impact affects confidentiality and integrity (CI:L), with no effect on availability. Since the vulnerability does not require user interaction and can be exploited by any authenticated user, it poses a significant risk if an attacker gains access to a legitimate account. No patches or known exploits are currently available, but the vulnerability is publicly disclosed and should be addressed promptly. The vulnerability affects only version 1.0.0 of data.all, so organizations running this version are at risk. The lack of scope change (S:U) means the impact is limited to the vulnerable component. The vulnerability is classified as medium severity due to the moderate impact and ease of exploitation.
Potential Impact
For European organizations, exploitation of CVE-2024-52312 could lead to unauthorized access and modification of sensitive datasets and environments managed within Amazon's data.all platform. This could result in data leakage, corruption, or unauthorized data manipulation, impacting business operations, compliance with data protection regulations such as GDPR, and potentially damaging organizational reputation. Since data.all likely integrates with critical data workflows, unauthorized operations could disrupt analytics, reporting, or decision-making processes. The medium severity suggests that while the vulnerability is not immediately catastrophic, it presents a tangible risk especially in environments with multiple users or where access controls are not tightly managed. Organizations relying heavily on Amazon's cloud data services should be vigilant, as attackers exploiting this vulnerability could leverage compromised accounts to escalate privileges and access restricted data. The absence of known exploits currently provides a window for proactive mitigation, but the public disclosure increases the risk of future exploitation attempts.
Mitigation Recommendations
1. Conduct a thorough review of user roles and permissions within the data.all environment to ensure the principle of least privilege is enforced, minimizing the number of users with elevated access. 2. Implement strict access control policies and monitor for anomalous activities such as unusual data access patterns or unauthorized operations on DataSets and Environments. 3. Enable detailed logging and audit trails for all operations within data.all to facilitate rapid detection and forensic analysis of suspicious behavior. 4. Restrict access to data.all to trusted networks and enforce multi-factor authentication (MFA) for all users to reduce the risk of compromised credentials. 5. Stay informed on vendor advisories and apply patches or updates as soon as Amazon releases a fix for this vulnerability. 6. Consider isolating critical datasets or environments to limit the blast radius in case of exploitation. 7. Educate users about the importance of credential security and recognizing potential phishing attempts that could lead to account compromise. 8. If feasible, perform penetration testing or vulnerability assessments focused on authorization controls within data.all to identify and remediate any additional weaknesses.
Affected Countries
Germany, United Kingdom, France, Netherlands, Italy, Spain, Sweden
CVE-2024-52312: CWE-863 Incorrect Authorization in amazon data.all
Description
Due to inconsistent authorization permissions, data.all may allow an external actor with an authenticated account to perform restricted operations against DataSets and Environments.
AI-Powered Analysis
Technical Analysis
CVE-2024-52312 identifies an authorization vulnerability in Amazon's data.all product, specifically version 1.0.0. The root cause is inconsistent authorization permissions (CWE-863), which allow an authenticated user with limited privileges to perform operations that should be restricted on DataSets and Environments. This flaw arises because the system fails to properly enforce access control checks before allowing certain actions, potentially enabling privilege escalation within the application context. The CVSS 4.0 vector indicates the attack can be performed remotely (AV:N) with low complexity (AC:L), without requiring additional privileges beyond authentication (PR:L), and no user interaction (UI:N). The impact affects confidentiality and integrity (CI:L), with no effect on availability. Since the vulnerability does not require user interaction and can be exploited by any authenticated user, it poses a significant risk if an attacker gains access to a legitimate account. No patches or known exploits are currently available, but the vulnerability is publicly disclosed and should be addressed promptly. The vulnerability affects only version 1.0.0 of data.all, so organizations running this version are at risk. The lack of scope change (S:U) means the impact is limited to the vulnerable component. The vulnerability is classified as medium severity due to the moderate impact and ease of exploitation.
Potential Impact
For European organizations, exploitation of CVE-2024-52312 could lead to unauthorized access and modification of sensitive datasets and environments managed within Amazon's data.all platform. This could result in data leakage, corruption, or unauthorized data manipulation, impacting business operations, compliance with data protection regulations such as GDPR, and potentially damaging organizational reputation. Since data.all likely integrates with critical data workflows, unauthorized operations could disrupt analytics, reporting, or decision-making processes. The medium severity suggests that while the vulnerability is not immediately catastrophic, it presents a tangible risk especially in environments with multiple users or where access controls are not tightly managed. Organizations relying heavily on Amazon's cloud data services should be vigilant, as attackers exploiting this vulnerability could leverage compromised accounts to escalate privileges and access restricted data. The absence of known exploits currently provides a window for proactive mitigation, but the public disclosure increases the risk of future exploitation attempts.
Mitigation Recommendations
1. Conduct a thorough review of user roles and permissions within the data.all environment to ensure the principle of least privilege is enforced, minimizing the number of users with elevated access. 2. Implement strict access control policies and monitor for anomalous activities such as unusual data access patterns or unauthorized operations on DataSets and Environments. 3. Enable detailed logging and audit trails for all operations within data.all to facilitate rapid detection and forensic analysis of suspicious behavior. 4. Restrict access to data.all to trusted networks and enforce multi-factor authentication (MFA) for all users to reduce the risk of compromised credentials. 5. Stay informed on vendor advisories and apply patches or updates as soon as Amazon releases a fix for this vulnerability. 6. Consider isolating critical datasets or environments to limit the blast radius in case of exploitation. 7. Educate users about the importance of credential security and recognizing potential phishing attempts that could lead to account compromise. 8. If feasible, perform penetration testing or vulnerability assessments focused on authorization controls within data.all to identify and remediate any additional weaknesses.
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: 68ee9ff531414aa8fc5df098
Added to database: 10/14/2025, 7:09:41 PM
Last enriched: 10/14/2025, 7:21:15 PM
Last updated: 10/16/2025, 8:11:41 AM
Views: 4
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