HIGH mass assignmentdynamodb

Mass Assignment in Dynamodb

How Mass Assignment Manifests in Dynamodb

Mass assignment vulnerabilities in Dynamodb occur when applications accept untrusted input to populate Dynamodb item attributes without proper validation or filtering. This creates several attack vectors specific to Dynamodb's data model and API.

The most common scenario involves client-side filtering of Dynamodb attributes. When a client requests specific attributes, an attacker can manipulate the request to include sensitive attributes they shouldn't access. For example:

const params = {
  TableName: 'Users',
  Key: { id: '123' },
  AttributesToGet: req.query.attributes.split(',') // Untrusted input!
};
const result = await dynamodb.get(params).promise();

An attacker could request id,ssn,credit_card to retrieve sensitive data. Dynamodb will return whatever attributes exist in the item, regardless of the user's authorization level.

Another pattern involves bulk updates where clients specify which attributes to modify. Consider this vulnerable code:

app.patch('/users/:id', async (req, res) => {
  const updates = req.body.updates; // { 'email': 'new@example.com', 'isAdmin': true }
  
  const params = {
    TableName: 'Users',
    Key: { id: req.params.id },
    UpdateExpression: 'set ' + Object.keys(updates).map((k, i) => `#${k} = :val${i}`).join(', '),
    ExpressionAttributeNames: Object.keys(updates).reduce((acc, k) => ({ ...acc, [`#${k}`]: k }), {}),
    ExpressionAttributeValues: Object.keys(updates).reduce((acc, k, i) => ({ ...acc, [`:val${i}`]: updates[k] }), {})
  };
  
  await dynamodb.update(params).promise();
});

Here, an authenticated user could escalate privileges by setting isAdmin to true, or modify any attribute they shouldn't control.

Dynamodb's lack of built-in row-level security makes this particularly dangerous. Unlike SQL databases with views or stored procedures, Dynamodb applies operations directly to items. If a user can craft a valid Dynamodb request, the operation executes without additional authorization checks.

Batch operations amplify the risk. BatchWriteItem and BatchGetItem accept arrays of requests, allowing attackers to enumerate multiple items or modify several records in a single operation:

const batchParams = {
  RequestItems: {
    'Users': [
      { PutRequest: { Item: { id: 'hacker', isAdmin: true, email: 'hacker@example.com' } } },
      { PutRequest: { Item: { id: 'victim', email: 'hacked@example.com' } } }
    ]
  }
};
await dynamodb.batchWrite(batchParams).promise();

The TransactWriteItems operation poses similar risks, allowing conditional updates across multiple items that could bypass application-level authorization if not properly validated.

Dynamodb-Specific Detection

Detecting mass assignment vulnerabilities in Dynamodb requires examining both code patterns and runtime behavior. Code analysis should focus on these specific indicators:

Untrusted Attribute Lists

const attributes = req.query.attributes?.split(',') || ['id', 'name'];
const params = {
  TableName: 'Users',
  Key: { id: userId },
  AttributesToGet: attributes // Vulnerable if attributes are user-controlled
};

Direct Client Updates

const updates = req.body;
const updateExpr = 'set ' + Object.keys(updates).map(k => `${k} = :${k}`).join(', ');
const values = Object.keys(updates).reduce((acc, k) => ({ ...acc, [`:${k}`]: updates[k] }), {});

const params = {
  TableName: 'Users',
  Key: { id: userId },
  UpdateExpression: updateExpr,
  ExpressionAttributeValues: values
};

Batch Operations with User Input

const batchRequests = req.body.requests.map(r => ({
  PutRequest: { Item: r.item }
}));

const params = {
  RequestItems: { [tableName]: batchRequests }
};

Runtime detection with middleBrick specifically targets Dynamodb endpoints by sending crafted requests that attempt to access or modify restricted attributes. The scanner tests for:

  • Attribute enumeration attacks using AttributesToGet with common sensitive field names (ssn, credit_card, password, isAdmin, role)
  • Update expression manipulation attempting to set restricted attributes
  • Batch operations targeting multiple items with varying permissions
  • Conditional expression bypasses using ConditionExpression

middleBrick's Dynamodb-specific checks include scanning for common IAM permission misconfigurations that enable mass assignment, such as overly permissive UpdateItem or PutItem permissions granted to application roles.

The scanner also examines OpenAPI specifications for Dynamodb operations, flagging endpoints that accept arbitrary attribute lists or update objects without validation. This spec analysis helps identify vulnerabilities before deployment.

Dynamodb-Specific Remediation

Remediating mass assignment vulnerabilities in Dynamodb requires a defense-in-depth approach using Dynamodb's native features combined with application-level controls.

Whitelist Attribute Access

Instead of accepting arbitrary attribute lists, explicitly define allowed attributes:

const allowedAttributes = ['id', 'name', 'email', 'createdAt'];
const requested = req.query.attributes?.split(',') || [];
const safeAttributes = requested.filter(attr => allowedAttributes.includes(attr));

const params = {
  TableName: 'Users',
  Key: { id: userId },
  AttributesToGet: safeAttributes.length ? safeAttributes : allowedAttributes
};

Attribute-Level Validation

Validate update operations against a schema of permitted fields:

const allowedUpdates = ['email', 'name', 'phone'];
const updates = req.body.updates || {};

const invalidFields = Object.keys(updates).filter(k => !allowedUpdates.includes(k));
if (invalidFields.length > 0) {
  return res.status(400).json({ error: 'Invalid fields: ' + invalidFields.join(', ') });
}

const updateExpr = 'set ' + Object.keys(updates).map(k => `${k} = :${k}`).join(', ');
const values = Object.keys(updates).reduce((acc, k) => ({ ...acc, [`:${k}`]: updates[k] }), {});

const params = {
  TableName: 'Users',
  Key: { id: userId },
  UpdateExpression: updateExpr,
  ExpressionAttributeValues: values
};

Conditional Writes for Authorization

Use Dynamodb's conditional expressions to enforce authorization at the database level:

const params = {
  TableName: 'Users',
  Key: { id: userId },
  UpdateExpression: 'set email = :email',
  ExpressionAttributeValues: { ':email': newEmail },
  ConditionExpression: 'attribute_exists(id) AND #role = :currentRole',
  ExpressionAttributeNames: { '#role': 'role' },
  ExpressionAttributeValues: { ...values, ':currentRole': userRole }
};

This ensures users can only modify their own records or have appropriate role-based permissions.

Batch Operation Safeguards

Validate batch operations thoroughly:

function validateBatchRequests(requests, userId, userRole) {
  return requests.every(req => {
    // Check if user owns the item or has admin rights
    const isOwner = req.PutRequest.Item.id === userId;
    const isAdmin = userRole === 'admin';
    
    if (!isOwner && !isAdmin) return false;
    
    // Validate item attributes
    const allowedAttrs = ['id', 'name', 'email'];
    const itemAttrs = Object.keys(req.PutRequest.Item);
    return itemAttrs.every(attr => allowedAttrs.includes(attr));
  });
}

IAM Policy Restrictions

Implement least-privilege IAM policies that limit what attributes applications can modify:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "dynamodb:GetItem",
        "dynamodb:UpdateItem"
      ],
      "Resource": "arn:aws:dynamodb:region:account:table/Users",
      "Condition": {
        "ForAllValues:StringEquals": {
          "dynamodb:Attributes": ["id", "name", "email", "phone"]
        }
      }
    }
  ]
}

This policy ensures even if application code is vulnerable, the IAM permissions restrict which attributes can be accessed or modified.

Related CWEs: propertyAuthorization

CWE IDNameSeverity
CWE-915Mass Assignment HIGH

Frequently Asked Questions

Can Dynamodb's built-in features prevent mass assignment vulnerabilities?
Dynamodb provides conditional expressions and IAM policies that can help prevent mass assignment, but these are not sufficient alone. Conditional expressions enforce business rules at the database level, while IAM policies restrict attribute access based on permissions. However, you still need application-level validation to properly filter user input and implement proper authorization checks. Dynamodb lacks the row-level security and schema validation found in traditional databases, making defense-in-depth essential.
How does middleBrick detect Dynamodb-specific mass assignment vulnerabilities?
middleBrick scans Dynamodb endpoints by sending crafted requests that attempt to enumerate sensitive attributes using manipulated AttributesToGet parameters, modify restricted fields through UpdateItem operations, and exploit batch operations. The scanner tests for common IAM misconfigurations that grant excessive permissions, examines OpenAPI specs for Dynamodb operations accepting arbitrary attribute lists, and validates that conditional expressions properly enforce authorization. It specifically targets Dynamodb's unique attack surface including its lack of built-in row-level security.