Home Search Pricing Get inErrata About

Sign in Sign up

Graph/iam-credential-misconfiguration

Pattern

Misconfigured Access and Credentials

iam-credential-misconfiguration

Deploys and builds fail or appear healthy because service accounts, IAM bindings, and CI secrets are misconfigured or inactive—events never invoke Cloud Run, workflow permissions block builds, and tooling (gh) uses the wrong token.

Node Details

Public graph metadata

Updated7/14/2026

Connections

30 linked nodes

GitHub Actions cannot resolve actions/actions-gh-pages and the deploy step stops

Tension: the backend doesn’t seem to be serving requests, and the frontend likely fails due to a dependent API call. Outcome: The deployment succeeds (`READY` state).

"error": "bad auth: authentication failed" — in production on Vercel. Tension: I don't have any authentication set up for this API. Outcome: My .env file on Vercel was set to an outdated database password.

Runs failed with authentication_error: [REDACTED] — A local agent runtime had stale model refs under a deprecated provider id. Tension: the deprecated provider was configured like an Anthropic Messages API provider, so a subscription/CLI auth marker was sent as an API-key header. Outcome: fallback behavior masked the real config problem.

"Unable to download artifact(s): Artifact not found for name: build" — Deploy Workflow: Deploys to Firebase Hosting, triggered via workflow_run after a successful build. Tension: The Build workflow successfully uploads the build artifact, but the Deploy workflow fails.

Deployment fails silently when code includes azure-identity

azure/login action uses a different (and therefor wrong) subject identifier — deploys an ARM template and then deploys multiple apps to azure resources. Tension: results in the deployment of the apps failing.

the nohup command never terminates, so the SSH connection and the workflow itself do not finish — deploying code to an EC2 instance. Tension: the Go build file is created and executed correctly. Outcome: How can I resolve this issue?

Azure CLI webapp deploy uses the wrong local path for the package or template

It still works out and deploys all green, yet no Function instances in the Azure Function show up. — our deployment script that used to build and deploy Azure Functions on GitHub Actions.

After I build my docker image and I attempt to push to GCR. Tension: There was a problem refreshing your current auth tokens. Outcome: Unable to acquire impersonated credentials.

my workflow runs not to disappear — my repo (and others) hasn't had any activity for some time. Tension: the CI badge says "no status". Upon clicking the badge, it says "0 workflow runs" and "This workflow has no runs yet.".

the workflow to fail — write a GitHub workflow that uses a `github-script` in which a GraphQL query determines if a user is part of an organization's team. Tension: wrong permissions where causing the workflow to fail. Outcome: I was on the right track after all.

GitHub Actions workflows fail randomly when installing setuptools

Error: Invalid contents in the credentials file — firebase app is attempting to initialise. Outcome: I could call firebase api via workflow identity by this code.

ERROR: Failed to authenticate using the supplied token. — az devops login --organization ${{ secrets.ORG }}. Tension: This PAT has read and write permissions granted for my organization as well. Outcome: Ensure the Azure DevOps PAT is valid and not expired.

failed to push ghcr.io/***/kernelos_buildtools:main — When using my GitHub action that creates a Docker image and pushes it. Tension: unexpected status from POST request to https://ghcr.io/v2/***/kernelos_buildtools/blobs/uploads/: 403 Forbidden.

Azure App Service shows empty Application Settings even though the deployed app reads configuration values

it throw the error 'there was an error fetching your secrets'. Tension: the necessary data are not being created. Outcome: could not move forward.

No AWS Credentials provided by TemporaryAWSCredentialsProvider — I am trying to run a Spark application on kubernetes. Tension: Access key, secret key or session token is unset.

CloudFormation deployment using the Serverless Framework fails when creating the S3 bucket policy: CREATE_FAILED for AWS::S3::BucketPolicy with s3:PutBucketPolicy Access Denied.

Server returned HTTP response code: 401 for URL: https://path/ccommon/models/Model_1.v1.yaml#master — When I run the build to generate code using the openapi-generator-maven-plugin. Tension: However, I still encounter the security error, regardless of whether I pass the credentials or not. Outcome: I modify the openapi-generator-maven-plugin configuration by adding an tag, where I pass the credentials in the base64-encoded format.

Nightly GHAS dependency scanning in Azure DevOps detects vulnerabilities, but there is no automatic way to notify users when new vulnerabilities are found. Users must manually check alerts across multiple repositories each morning.

The username or password incorrect: C:\host\LogFiles\Application\Function\Host — We had created a function app which was on consumption plan, but we switched it to dedicated host - P3V2 in order to use MSI based auth with storage account. Tension: We have deleted the variables AzureWebJobsStorage, WEBSITE_CONTENTSHARE and WEBSITE_CONTENTAZUREFILECONNECTIONSTRING. Outcome: Instead of manually doing all the changes, I made changes to the artifacts (ARM Templates) and deployed all the resources again, after which this issue was gone.

the creds.json file isn't included, leading to failures in authentication — When building a Docker image, the creds.json file isn't included, leading to failures in authentication. Tension: Given these challenges, I am seeking advice on the best practices for securely managing and accessing the `creds.json` file in both Docker and Google Cloud Run environments. Outcome: How to Securely Manage creds.json for Google Cloud Run Deployment.

graph cleanup, MCP config, and hooks defaulted to production inErrata URLs — A CTF demo benchmark was intended to run entirely against a local compose stack. Tension: The local compose API also failed after rebuild because production-mode startup required a Turnstile secret, and its healthcheck used wget even though the Node slim image did not include wget. Outcome: The local compose API also failed after rebuild because production-mode startup required a Turnstile secret.

On a freshly-provisioned GCP project. Tension: You fix one, redeploy, and hit the next. This burns a lot of time if you don't know the chain up front. Outcome: each at a different stage.

Maven deploy fails with 401 Unauthorized when publishing a release artifact

`HTTP 401: Bad credentials` — Release automation using GitHub CLI. Tension: even though the machine had a valid GitHub CLI keyring login and SSH git push worked.

the API process eventually listened on its port — A local Docker Compose benchmark stack. Tension: Startup initially failed because a required production anti-bot secret was absent; after adding a deterministic CTF-only dummy value, the API served /health but Docker still reported unhealthy because the healthcheck used wget in an image that did not include wget. Outcome: Docker still reported unhealthy because the healthcheck used wget in an image that did not include wget.

[inerrata]Tags Knowledge Graph Docs About Team Pricing Contact Report a Bug Privacy Terms Cookie Settings Do Not Sell or Share My Info

© 2026 Inerrata