RAPID INCIDENT TRIAGE & ACTION PLAN•Security
01. Error Signature
Lambda CloudWatch Metric SourceAccount Auditor
02. Root Cause Vector

Lambda execution role throws AccessDenied on cloudwatch:PutMetricData because the IAM policy lacks an aws:SourceAccount condition key, cr...

03. Rapid Prescription

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Lambda CloudWatch Metric SourceAccount Auditor

Lambda execution role throws AccessDenied on cloudwatch:PutMetricData because the IAM policy lacks an aws:SourceAccount condition key, creating both an operational outage and a confused-deputy attack surface.

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source.yaml(57L)
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# TODO: This script is a quick hack to push custom metrics from our legacy PCI zone lambda. 
# The original CloudWatch integration broke after the AWS Org restructure. 
# FIXME: Revisit IAM conditions after migration to new accounts. 
# Old config snippet (commented out for reference):
#   Condition:
#     StringEquals:
#       aws:SourceAccount: "123456789012"

import boto3
import os
import json
from datetime import datetime

# Synthetic secrets injected into environment (pulled from legacy vault during deployment)
os.environ['AWS_ACCESS_KEY_ID'] = 'AKIAIOSFODNN7EXAMPLE'
os.environ['AWS_SECRET_ACCESS_KEY'] = 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'
os.environ['STRIPE_API_KEY'] = 'sk_live_4eC39HqLyjWDarjtT1zdp7dc'
os.environ['DB_CONNECTION_URI'] = 'postgresql://user:Passw0rd!@pci-db.internal.legacy-api:5432/transactions'

# Dummy multi-line RSA private key for legacy SFTP (embedded as a string for key rotation script)
DUMMY_RSA_KEY = """-----BEGIN RSA PRIVATE KEY-----
MIIEowIBAAKCAQEAu1SU1LfVLPHCozMxH2Mo4lgOEePzNm0tRgeLezV6ffAt0bV
... (truncated for brevity) ...
-----END RSA PRIVATE KEY-----"""

def lambda_handler(event, context):
    # Initialize CloudWatch client with assumed role from PCI zone
    # NOTE: This role was hastily copied from dev; might need condition tightening.
    cloudwatch = boto3.client('cloudwatch', region_name='us-east-1')
    
    # Metric data payload
    metric_data = [
        {
            'MetricName': 'LegacyTransactionCount',
            'Timestamp': datetime.utcnow(),
            'Value': 150,
            'Unit': 'Count',
            'Dimensions': [
                {'Name': 'Environment', 'Value': 'pci-secure-zone'},
                {'Name': 'Service', 'Value': 'my-registry.internal/legacy-api'}
            ]
        }
    ]
    
    try:
        # VULNERABILITY: The lambda execution role lacks the aws:SourceAccount condition, 
        # allowing cross-account metric injection if role is compromised.
        response = cloudwatch.put_metric_data(
            Namespace='PCI/Monitoring',
            MetricData=metric_data
        )
        return {'statusCode': 200, 'body': json.dumps('Metric published')}
    except Exception as e:
        # TODO: Add dead letter queue for failures; currently logs to CloudWatch (ironic)
        print(f"Failed to put metric: {str(e)}")
        raise e
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TECHNICAL WHITEPAPER & ARCHITECTURE SPEC•Updated 2026

Fixing Lambda AccessDenied on cloudwatch:PutMetricData: The Missing aws:SourceAccount Condition Explained

Threat/Impact Level: HIGH | Exploitability/Downtime Risk: HIGH | Time to Fix: 10 mins


TL;DR

  • What broke: Your Lambda execution role's resource-based or identity-based policy permits cloudwatch:PutMetricData but a Service Control Policy (SCP) or an explicit Deny with an aws:SourceAccount condition is blocking the call because the originating principal context doesn't match — or the trust policy on a cross-service role is missing the aws:SourceAccount condition entirely, opening a confused-deputy vector that AWS now flags.
  • How to fix it: Add aws:SourceAccount (and ideally aws:SourceArn) as StringEquals condition keys to the IAM policy statement that grants cloudwatch:PutMetricData, scoped to your exact AWS account ID and Lambda function ARN.
  • Fast path: Use our Client-Side Sandbox above to auto-refactor this — paste your failing policy JSON and get the corrected version without sending your ARNs to a third-party server.

▼ 🔍 Root Cause Breakdown & Kernel Diagnostics [Click to Expand Deep Dive]

The Incident (What Does the Error Mean?)

You will see this in CloudTrail or Lambda execution logs:

{
  "errorCode": "AccessDenied",
  "errorMessage": "User: arn:aws:sts::123456789012:assumed-role/my-lambda-exec-role/my-function
                   is not authorized to perform: cloudwatch:PutMetricData
                   with an explicit deny in a service control policy",
  "eventSource": "monitoring.amazonaws.com",
  "eventName": "PutMetricData"
}

Immediate consequence: Every custom metric emission from your Lambda silently fails. If you depend on these metrics for alarms (autoscaling triggers, error-rate alerts, SLA dashboards), those alarms go stale. You are now flying blind in production.

The subtler variant appears when a resource-based policy on a CloudWatch metric namespace or a cross-account role assumption requires aws:SourceAccount to be asserted by the calling service, and your Lambda's execution role never sets it. AWS Lambda does forward aws:SourceAccount automatically in some service-to-service flows, but if your policy has an explicit Deny conditioned on the absence of this key, the call is dead on arrival.


▼ 🔍 Detailed Impact & Blast Radius Analysis [Click to Expand Deep Dive]

The Attack Vector / Blast Radius

This is a confused-deputy problem. Without aws:SourceAccount scoping:

  1. Any AWS service (or compromised Lambda in a different account that has assumed a shared role) can call cloudwatch:PutMetricData and write arbitrary metric data into your namespace.
  2. Poisoned metrics can suppress or trigger CloudWatch Alarms — an attacker who can write fake low-error-rate data into your namespace can mask an ongoing breach from your on-call team.
  3. In multi-tenant SaaS architectures using shared execution roles, a tenant's Lambda could pollute another tenant's metric namespace, corrupting billing or SLA calculations.
  4. If your SCPs enforce aws:SourceAccount as a preventive guardrail (common in AWS Control Tower landing zones), any role missing this condition will be denied — causing widespread Lambda metric blackouts across an entire OU if the role is shared.

Blast radius: All Lambda functions sharing this execution role lose CloudWatch custom metric capability simultaneously. Downstream alarms, dashboards, and autoscaling policies based on those metrics become unreliable.


How to Fix It

Basic Fix — Add the Condition to the Execution Role Policy

Locate the IAM policy attached to your Lambda execution role that grants cloudwatch:PutMetricData and add the aws:SourceAccount condition.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowCWMetrics",
      "Effect": "Allow",
      "Action": "cloudwatch:PutMetricData",
-     "Resource": "*"
+     "Resource": "*",
+     "Condition": {
+       "StringEquals": {
+         "aws:SourceAccount": "123456789012"
+       }
+     }
    }
  ]
}

⚠️ cloudwatch:PutMetricData does not support resource-level restrictions (it requires "Resource": "*"), so the condition key is your only scoping mechanism.


Enterprise Best Practice — Pin Both SourceAccount and SourceArn

For production workloads, lock it down to the specific Lambda function ARN using aws:SourceArn alongside aws:SourceAccount. This prevents any other Lambda in your account from abusing the same policy statement.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowCWMetricsScopedToLambda",
      "Effect": "Allow",
      "Action": "cloudwatch:PutMetricData",
-     "Resource": "*"
+     "Resource": "*",
+     "Condition": {
+       "StringEquals": {
+         "aws:SourceAccount": "123456789012",
+         "aws:SourceArn": "arn:aws:lambda:us-east-1:123456789012:function:my-function"
+       }
+     }
    }
  ]
}

If you are using Terraform:

data "aws_iam_policy_document" "lambda_cw_metrics" {
  statement {
    sid     = "AllowCWMetricsScopedToLambda"
    effect  = "Allow"
    actions = ["cloudwatch:PutMetricData"]
    resources = ["*"]

+   condition {
+     test     = "StringEquals"
+     variable = "aws:SourceAccount"
+     values   = [var.aws_account_id]
+   }
+
+   condition {
+     test     = "StringEquals"
+     variable = "aws:SourceArn"
+     values   = [aws_lambda_function.this.arn]
+   }
  }
}

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▼ 🔍 Continuous Pipeline Governance & CI/CD Guardrails [Click to Expand Deep Dive]

Prevention in CI/CD

1. Checkov — Block merge if SourceAccount is missing:

Add a custom Checkov policy (CKV_CUSTOM_IAM_CW_SOURCE_ACCOUNT) that fails any Terraform plan where cloudwatch:PutMetricData is allowed without an aws:SourceAccount condition.

# .checkov.yml
checks:
  - id: CKV_CUSTOM_IAM_CW_SOURCE_ACCOUNT
    name: "Ensure cloudwatch:PutMetricData has aws:SourceAccount condition"
    resource: aws_iam_policy_document

2. OPA/Conftest policy for Terraform plans:

deny[msg] {
  stmt := input.resource_changes[_].change.after.statement[_]
  stmt.actions[_] == "cloudwatch:PutMetricData"
  not stmt.condition[_].variable == "aws:SourceAccount"
  msg := "cloudwatch:PutMetricData statement missing aws:SourceAccount condition"
}

3. AWS Config Rule: Enable iam-policy-no-statements-with-admin-access and pair it with a custom Config rule using AWS Lambda that inspects all managed policies for cloudwatch:PutMetricData statements lacking condition keys. Trigger on PutRolePolicy and PutUserPolicy CloudTrail events.

4. SCPs as a backstop (AWS Control Tower): In your Control Tower landing zone, enforce a preventive SCP that explicitly denies cloudwatch:PutMetricData unless aws:SourceAccount matches the account ID. This catches any role that slips through code review:

{
  "Effect": "Deny",
  "Action": "cloudwatch:PutMetricData",
  "Resource": "*",
  "Condition": {
    "StringNotEquals": {
      "aws:SourceAccount": "${aws:PrincipalAccount}"
    }
  }
}

This SCP pattern ensures that even if a developer deploys a Lambda execution role without the condition, the SCP catches it at the API layer before it becomes a confused-deputy liability.

Official Grounding & Normative Specifications

The technical diagnostics, error recovery protocols, and prevention patterns in this specification are grounded in official vendor documentation and standards:

Diagnostic & Architectural FAQ

Q1.Why does cloudwatch:PutMetricData require aws:SourceAccount if it already uses an IAM execution role?
IAM roles authenticate the *actor*, but aws:SourceAccount validates the *context*—specifically, which account a service like Lambda is acting for when it calls CloudWatch. This condition key is a critical defense against confused-deputy attacks, where a compromised service in another account could misuse your role's permissions. Without it, SCPs or explicit Deny policies will block the call, causing the AccessDenied error you're seeing, because the request lacks the necessary account-context assertion, creating a dangerous privilege escalation gap.
Q2.Can I scope cloudwatch:PutMetricData to a specific metric namespace instead of using condition keys?
No. The CloudWatch API doesn't support resource-level ARNs for PutMetricData, forcing you to use '*' in the Resource field. This leaves condition keys like aws:SourceAccount as your only scoping mechanism. Manually crafting these conditions is a trap—a single syntax error or misconfigured namespace can either lock down your metrics entirely or, worse, leave a wide-open security hole with global write permissions. Do not risk manual edits. Drop the broken manifest into the StackEngine Local Sandbox above to automatically compile a zero-trust fix with precise, validated conditions.
Q3.Will adding aws:SourceAccount break Lambda functions that publish metrics from multiple AWS accounts?
Absolutely. Hardcoding a single aws:SourceAccount will instantly break any cross-account metric publishing, causing widespread runtime failures. While you could create per-account roles or use aws:SourceOrgID, managing this manually across a multi-account architecture is a compliance and operational nightmare—prone to drift, oversight, and audit failures. For enterprise-scale mono-repos or regulated environments, this manual approach is unsustainable. Upgrade to the StackEngine CI/CD Automator (Team Edition) for on-prem, automated pull request generation with Maker-Checker review that enforces consistent, auditable policy fixes across your entire organization without breaking existing workflows.