Sentry SDK is the official Python SDK for Sentry, real-time crash reporting software. When using the Django integration of versions prior to 1.14.0 of the Sentry SDK in a specific configuration it is possible to leak sensitive cookies values, including the session cookie to Sentry. These sensitive cookies could then be used by someone with access to your Sentry issues to impersonate or escalate their privileges within your application. In order for these sensitive values to be leaked, the Sentry SDK configuration must have `sendDefaultPII` set to `True`; one must use a custom name for either `SESSION_COOKIE_NAME` or `CSRF_COOKIE_NAME` in one's Django settings; and one must not be configured in one's organization or project settings to use Sentry's data scrubbing features to account for the custom cookie names. As of version 1.14.0, the Django integration of the `sentry-sdk` will detect the custom cookie names based on one's Django settings and will remove the values from the payload before sending the data to Sentry. As a workaround, use the SDK's filtering mechanism to remove the cookies from the payload that is sent to Sentry. For error events, this can be done with the `before_send` callback method and for performance related events (transactions) one can use the `before_send_transaction` callback method. Those who want to handle filtering of these values on the server-side can also use Sentry's advanced data scrubbing feature to account for the custom cookie names. Look for the `$http.cookies`, `$http.headers`, `$request.cookies`, or `$request.headers` fields to target with a scrubbing rule.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.6, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction . The vulnerability impacts confidentiality (data exposure), limited integrity, for affected systems. Impacting 1 product from sentry organizations running these solutions should prioritize assessment and patching.
Reported in 2023, 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.
2023-03-22T20:15:12.793
2026-06-17T05:46:54.547
Modified
CVSSv3.1: 7.6 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | sentry | sentry_software_development_kit | < 1.14.0 | 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 sentry'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.