HIGH identification failuresecho godynamodb

Identification Failures in Echo Go with Dynamodb

Scan for identification failures in echo go

Identification Failures in Echo Go with Dynamodb — how this specific combination creates or exposes the vulnerability

An Identification Failure occurs when an application fails to properly identify and authenticate subjects before authorizing actions, allowing one user to access or modify another user’s resources. In an Echo Go service that uses Amazon DynamoDB as the persistence layer, this typically manifests as an Insecure Direct Object Reference (IDOR) or Broken Object Level Authorization (BOLA) when endpoint handlers resolve user identifiers from request parameters or headers without validating that the referenced resource belongs to the authenticated principal.

Consider an Echo Go route like /users/{userID}/profile. If the handler extracts userID from the URL, queries DynamoDB for the corresponding item, and returns the profile without confirming the requesting identity matches userID, an attacker can change the path segment to access or overwrite any profile. Because DynamoDB stores items by key attributes (e.g., userID as the partition key), an attacker can directly reference arbitrary keys if authorization is missing or incomplete. This becomes an Identification Failure because the system identifies the resource by user-supplied input but does not verify that the authenticated subject has the right to access that resource.

The combination of Echo Go’s flexible routing and DynamoDB’s key-based model amplifies the risk. Echo Go makes it straightforward to define path parameters, and developers can inadvertently trust those parameters. DynamoDB requires precise key schema knowledge; if the application uses a composite key (partition + sort), manipulating the sort key portion without authorization can expose other entities in the same partition. For example, a handler that queries userID and resourceID without ensuring the authenticated user owns the record enables horizontal privilege escalation across users sharing the same partition key design.

Additionally, if the service relies on unauthenticated or weakly authenticated endpoints (for instance, public read endpoints that should still be scoped to the requester’s data), an attacker can enumerate valid identifiers by observing timing differences or error messages. DynamoDB returns ResourceNotFoundException for missing keys and ProvisionedThroughputExceededException for throttling; these responses can leak existence information. When Echo Go does not normalize responses or enforce per-request ownership checks, the API surface unintentionally exposes identification flaws that map directly to OWASP API Top 10 A01:2023 (Broken Object Level Authorization).

In threat modeling terms, this pattern maps to STRIDE’s Tampering and Information Disclosure categories. An authenticated low-privilege user can tamper with the path or query parameters to access or modify other users’ DynamoDB items. If the items contain sensitive fields (PII, financial data), the attacker also achieves information disclosure. Because DynamoDB does not enforce row-level ownership, the responsibility falls entirely on the application layer to enforce identification and authorization consistently across all operations.

Real-world exploits often chain Identification Failures with other weaknesses, such as missing rate limiting or insufficient input validation. For instance, an attacker could automate enumeration by iterating over numeric userIDs, observing which requests succeed, and building a map of accessible profiles. If the API also lacks proper logging, the abuse can persist undetected. middleBrick’s LLM/AI Security checks include Active Prompt Injection Testing and System Prompt Leakage Detection, which are designed to uncover risks around AI-assisted endpoints; however, for traditional API routes, the core defense remains robust identification, authentication, and fine-grained authorization tied to DynamoDB key design.

Dynamodb-Specific Remediation in Echo Go — concrete code fixes

Remediation centers on ensuring that every DynamoDB request is scoped to the authenticated subject and that the application never trusts client-supplied identifiers for access control decisions. Implement a consistent pattern where the authenticated principal’s ID, obtained from a verified token (e.g., JWT claims), is used as the partition key in DynamoDB queries, and any user-supplied key is cross-checked against this principal before issuing operations.

Secure Handler Pattern in Echo Go

Use context to pass the authenticated user ID into the request scope, and construct DynamoDB queries that explicitly filter by this ID. Below is a secure example using the AWS SDK for Go v2 (github.com/aws/aws-sdk-go-v2/service/dynamodb) with the dynamodbattribute encoder.

// Echo handler with proper identification and DynamoDB scoping
func GetUserProfile(c echo.Context) error {
    // Authenticated user ID from JWT or session, set in middleware
    userID, ok := c.Get("userID").(string)
    if !ok || userID == "" {
        return echo.NewHTTPError(http.StatusUnauthorized, "invalid authentication")
    }

    // User-supplied identifier, if any, must be validated against userID
    requestedID := c.Param("userID")
    if requestedID != userID {
        return echo.NewHTTPError(http.StatusForbidden, "access denied")
    }

    cfg, err := config.LoadDefaultConfig(context.TODO())
    if err != nil {
        return echo.NewHTTPError(http.StatusInternalServerError, "failed to load AWS config")
    }
    client := dynamodb.NewFromConfig(cfg)

    // Scoped query using authenticated userID as partition key
    resp, err := client.GetItem(context.TODO(), &dynamodb.GetItemInput{
        TableName: aws.String("Users"),
        Key: map[string]types.AttributeValue{
            "userID": &types.AttributeValueMemberS{Value: userID},
        },
    })
    if err != nil {
        return echo.NewHTTPError(http.StatusInternalServerError, "failed to fetch profile")
    }
    if resp.Item == nil {
        return echo.NewHTTPError(http.StatusNotFound, "profile not found")
    }

    var profile Profile
    err = dynamodbattribute.UnmarshalMap(resp.Item, &profile)
    if err != nil {
        return echo.NewHTTPError(http.StatusInternalServerError, "failed to unmarshal item")
    }

    return c.JSON(http.StatusOK, profile)
}

This pattern ensures that the only key used for DynamoDB access is derived from the authenticated context, eliminating the risk of horizontal IDOR. Note that we explicitly compare requestedID with userID and reject the request if they differ, rather than attempting to filter results after the query.

Composite Key Considerations

If your table uses a composite key (partition + sort), always include the authenticated userID as the partition key and treat any client-provided sort key as a direct lookup that must still be owned by the same partition. For example, storing user settings with userID as partition key and settingKey as sort key:

// Secure lookup with composite key scoping
func GetUserSetting(c echo.Context) error {
    userID, ok := c.Get("userID").(string)
    if !ok {
        return echo.NewHTTPError(http.StatusUnauthorized, "invalid authentication")
    }

    settingKey := c.Param("settingKey")
    // Validate settingKey format if necessary

    cfg, err := config.LoadDefaultConfig(context.TODO())
    if err != nil {
        return echo.NewHTTPError(http.StatusInternalServerError, "failed to load AWS config")
    }
    client := dynamodb.NewFromConfig(cfg)

    resp, err := client.GetItem(context.TODO(), &dynamodb.GetItemInput{
        TableName: aws.String("UserSettings"),
        Key: map[string]types.AttributeValue{
            "userID":       &types.AttributeValueMemberS{Value: userID},
            "settingKey":   &types.AttributeValueMemberS{Value: settingKey},
        },
    })
    if err != nil {
        return echo.NewHTTPError(http.StatusInternalServerError, "failed to fetch setting")
    }
    if resp.Item == nil {
        return echo.NewHTTPError(http.StatusNotFound, "setting not found")
    }

    var setting Setting
    err = dynamodbattribute.UnmarshalMap(resp.Item, &setting)
    if err != nil {
        return echo.NewHTTPError(http.StatusInternalServerError, "failed to unmarshal item")
    }

    return c.JSON(http.StatusOK, setting)
}

Additionally, apply defense-in-depth measures: normalize error responses to avoid leaking existence information, implement rate limiting to deter enumeration, and validate all input against expected formats. middleBrick’s API scans can help identify remaining Identification Failures by correlating authentication checks with endpoint parameter usage and DynamoDB key patterns, providing prioritized findings and remediation guidance.

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Frequently Asked Questions

How can I test if my Echo Go + DynamoDB endpoints are vulnerable to IDOR?
Send authenticated requests as one user to endpoints that reference another user’s identifier in the path or query parameters. If the endpoint returns data or allows modification without proper authorization checks, it is vulnerable. Automated scans, such as those from middleBrick, can systematically verify ownership validation across endpoints.
Does using DynamoDB fine-grained IAM policies alone prevent Identification Failures in Echo Go?
It helps but is not sufficient. IAM policies provide account-level controls, but within an application you must still enforce per-request ownership so that one authenticated session cannot access another user’s resources. Always scope queries to the authenticated principal’s ID and avoid trusting client-supplied keys for authorization.

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