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Curio exposes database credentials to users with network access through verbose HTTP error responses

High severity GitHub Reviewed Published Feb 25, 2026 in filecoin-project/curio • Updated Feb 26, 2026

Package

gomod github.com/filecoin-project/curio (Go)

Affected versions

>= 1.24.3, <= 1.27.2

Patched versions

1.27.3-rc2

Description

Summary

Multiple HTTP handlers in Curio passed raw database error messages to HTTP clients via http.Error(). When the PostgreSQL/YugabyteDB driver (pgx) returned errors, these could contain the database connection string — including hostname, port, username, and password. Additionally, the internal connection string was constructed with the plaintext password embedded in the URL, which was also included in startup error messages and could surface in logs.

Details

Three components were affected:

  1. PDP handlers (pdp/handlers.go) — 18+ HTTP error paths passed err.Error() directly to HTTP responses. While these endpoints require ECDSA JWT authentication, an authenticated client (e.g., a FilPay service) that triggered a database error would receive the raw pgx error in the HTTP response body. Present since PDP was introduced in v1.25.1.

  2. Market mk12 deal status (market/mk12/mk12_utils.go) — The GetDealStatus handler included err.Error() in error responses: "failed to query the db for deal status: %s". Present since v1.24.3.

  3. Market mk20 auth middleware (market/mk20/http/http.go) — Authentication error responses included err.Error(), potentially leaking database error details during auth flows. Present since v1.27.2.

Root Cause

The database connection string was constructed as:

postgresql://username:password@host:port/database?...

The plaintext password was embedded directly in the URL. When pgx returned connection or query errors, the error text could contain fragments of this connection string. HTTP handlers forwarded these errors verbatim to clients.

Impact

An attacker with network access to Curio's PDP or Market HTTP endpoints and valid authentication credentials could intentionally trigger database errors (e.g., by sending malformed requests that cause SQL failures) and extract the YugabyteDB connection credentials from the error response. With these credentials, the attacker could directly access the database, which serves as Curio's control plane.

Per Curio's security boundary documentation, these endpoints are expected to be on a trusted network. However, defense-in-depth requires that credentials are never exposed through HTTP responses regardless of network trust assumptions.

Remediation (PR #919)

  1. Connection string password masking: The password in the connection string is replaced with ********. The real password is set separately via cfg.ConnConfig.Password, so it never appears in error messages or logs.

  2. HTTP handler sanitization: All affected handlers now log the detailed error server-side and return a generic error message to the HTTP client.

  3. Error filter (errFilter): A new function in the database layer detects and redacts any error messages containing keywords like "password", "host", "port", or "://" before they can propagate.

  4. Prometheus metrics cleanup: Database connection metrics that could expose connection details were removed from the metrics endpoint.

  5. Security boundary documentation: A new section documents what Curio expects operators to secure.

Resources

References

@Reiers Reiers published to filecoin-project/curio Feb 25, 2026
Published to the GitHub Advisory Database Feb 26, 2026
Reviewed Feb 26, 2026
Last updated Feb 26, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

EPSS score

Weaknesses

Generation of Error Message Containing Sensitive Information

The product generates an error message that includes sensitive information about its environment, users, or associated data. Learn more on MITRE.

Insertion of Sensitive Information into Log File

The product writes sensitive information to a log file. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-gj6x-q8rh-wj6x
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