The Java client for the Datadog API before version 1.0.0-beta.9 has a local information disclosure of sensitive information downloaded via the API using the API Client. The Datadog API is executed on a unix-like system with multiple users. The API is used to download a file containing sensitive information. This sensitive information is exposed locally to other users. This vulnerability exists in the API Client for version 1 and 2. The method `prepareDownloadFilecreates` creates a temporary file with the permissions bits of `-rw-r--r--` on unix-like systems. On unix-like systems, the system temporary directory is shared between users. As such, the contents of the file downloaded via the `downloadFileFromResponse` method will be visible to all other users on the local system. Analysis of the finding determined that the affected code was unused, meaning that the exploitation likelihood is low. The unused code has been removed, effectively mitigating this issue. This issue has been patched in version 1.0.0-beta.9. As a workaround one may specify `java.io.tmpdir` when starting the JVM with the flag `-Djava.io.tmpdir`, specifying a path to a directory with `drw-------` permissions owned by `dd-agent`.
This vulnerability carries a LOW severity rating with a CVSS v3.1 score of 3.0, indicating it can be exploited remotely over the network but requires specific conditions to be met though user interaction is required requiring only low-level privileges . The vulnerability impacts limited data confidentiality, for affected systems. Impacting 1 product from datadoghq organizations running these solutions should prioritize assessment and patching.
Reported in 2021, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2021-03-03T23:15:11.463
2024-11-21T05:48:02.307
Modified
CVSSv3.1: 3.0 (LOW)
AV:N/AC:M/Au:N/C:P/I:N/A:N
8.6
2.9
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
| Application | datadoghq | datadog-api-client-java | 1.0.0 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For datadoghq's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.