GitHub status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of GitHub reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by GitHub users through our website.

• Website Down (66%)
• Sign in (21%)
• Errors (14%)

Live Outage Map

The most recent GitHub outage reports came from the following cities:

City	Problem Type	Report Time
Veigné	Errors	6 days ago
Paris	Website Down	9 days ago
Saint-Paul	Website Down	10 days ago
Saint-Paul	Website Down	10 days ago
Mexico City	Sign in	11 days ago
León de los Aldama	Website Down	11 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Gregor (@bygregorr) reported 6 minutes ago

  @hnshah hit this last year. two days in a supabase github issue, maintainer jumped into a DM to debug live. we still talk. was it github-native for you or did it spill into discord first?

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  Adeniyi Victor (@Vieester_) reported 10 minutes ago

  Seem there is an internal system error with deployment using github @render

• 
  Victor (@victor_vibing) reported 10 minutes ago

  @BraedendotTECH Simple coding tasks like what? I give AI access to jira and github and let it fix N bugs and create N PRs for me. When I come back, they've been reviewed by Copilot, and Claude fixed all the issues, then reviewed again by Copilot, and up to 15 times like that (depending on scope/complexity ofc). Where does that junior dev fit in this process?

• 
  blackorbird (@blackorbird) reported 13 minutes ago

  WordPress released emergency security updates (WordPress 6.9.5 and WordPress 7.0.2) to address two related vulnerabilities that can be chained together to achieve unauthenticated Remote Code Execution (RCE). The combined issue is publicly known as “wp2shell”. These are core vulnerabilities (no plugins or themes required) affecting default WordPress installations. 1. CVE-2026-63030 – REST API Batch-Route Confusion (Critical) Official Description (from WordPress GitHub Security Advisory):
“WordPress versions 6.9 and higher are vulnerable to a REST API batch-route confusion weakness, which combined with an SQL injection issue leads to Remote Code Execution.” WordPress 6.9.0 – 6.9.4 WordPress 7.0.0 – 7.0.1 Patched in: 6.9.5 and 7.0.2 2. CVE-2026-60137 – Facilitated SQL Injection in `author__not_in` Parameter (High) Official Description (from WordPress GitHub Advisory + CVE record):
“WordPress versions 6.8 and higher are vulnerable to an SQL injection issue in the author__not_in parameter of WP_Query. In WordPress versions 6.9 and higher, this combined with a REST API batch-route confusion issue leads to Remote Code Execution.” More Technical Context (from CVE./org): “WordPress 6.8.x before 6.8.6, 6.9.x before 6.9.5, and 7.0.x before 7.0.2 does not properly sanitise the author__not_in parameter of WP_Query, which could allow SQL Injection when a plugin or theme passes untrusted input to the parameter.” Key Details: The author__not_in parameter in WP_Query (used for querying posts by excluding certain authors) was not properly sanitized against malicious input. This allows SQL Injection (CWE-89) when untrusted data is passed to it. On its own, this is a facilitated SQL Injection (requires some form of input from a plugin/theme or specific context). It was rated Moderate in the official advisory, though some sources list it as High (CVSS 7.5) due to its potential impact. How the Two Vulnerabilities Combine (“wp2shell” Chain) The real danger comes from chaining both issues: 1The REST API batch-route confusion (CVE-2026-63030) allows an attacker to send specially crafted batch requests that confuse the routing logic. 2This confusion enables the SQL Injection in author__not_in (CVE-2026-60137) to be exploited without authentication. 3The successful SQL Injection can be leveraged to achieve arbitrary code execution on the server. Result: A completely unauthenticated attacker can execute arbitrary code on the WordPress site with no user interaction, no valid login, and no plugins required.

• 
  Adam Kranz (@adam_kranz) reported 15 minutes ago

  Torturing my programmer by making a series of GitHub issues that amount to "I want to make the website self aware"

• 
  Rudi Cilibrasi (@cilibrar) reported 16 minutes ago

  @SMT_Solvers Repo is public. I don't use zips when I do agentic SWE do you? I just set my bot onto the GitHub repo and have it make/work issues and get another bot to review. I use Fable/Sol for everything this month. Do you want to try to make a PR that codifies your fork() design move?

• 
  AIVM (@AIVM_Network) reported 17 minutes ago

  In December, Cline gave an AI agent the job of triaging incoming issues. The agent could run shell commands, and anyone with a GitHub account could trigger it. The issue title was pasted straight into its prompt.

• 
  Manol T. (@manol_ai) reported 19 minutes ago

  @syakirbuilds Yeah i thought a lot. MCP has built in authentication oauth2.1 protocol which makes it production ready. I used Supabase to make the server and connected Gmail and Github so people could authenticate into my MCP. I will add stripe checkout on top and I am ready to go

• 
  Joshua Levy (@ojoshe) reported 22 minutes ago

  @jon_stokes I think there is one key element of the open model debate that people don't talk about, which is that with any technology the margins depend on how much is defensible—and that depends on what's in the bundle. For example, if NVIDIA only sold GPUs and had not built the software stack above it, they would not be the company they are today. But their software stack defends their hardware monopoly. Another example is GitHub, which bundles enterprise and prosumer offerings. Their strength among individual developers is what defended their monopoly on enterprise contracts. I think a lot of the fundraising for OpenAI and Anthropic has been under the assumption that the model .is. the bundle. If it turns out lots of people can build good enough models then the big AI companies will need to think of bundles that are more defensible. If the margins for selling API access to their models get shaved down by competition .and. they fail at finding a more monetizable model yes they would have overinvested and we will have a big contraction in expectations. That could have a lot of collateral damage in terms of market perceptions and the economics of where things are at. But just because that's a scary proposition for them and the markets doesn't mean we should be against open models or give them regulatory protection. That's an entirely different argument. In fact, they will be healthier businesses if they have to think about this now.

• 
  Benji AI (@AIfutureBenji) reported 23 minutes ago

  @aisearchio oh , yes similar issue, trigger word uncensored, Google YouTube don't like it. I got 2 videos have this keyword, it said it's violate the policy in 0:30 duration. But there's nothing on that video 30 second mark, it was just a GitHub page quote and it still happen.

• 
  harald (@HaraldvanLintel) reported 25 minutes ago

  @jsm2334 It's the opposite, rejection of deaths that are replaced by the higher risk deaths instead of added; it's an issue for detection of small additional risk. The AI got another version from github than I got, there seems to be a caching issue, here's the code that slightly differs:

• 
  drankmanplease (@franchiseXBT) reported 27 minutes ago

  @mimiclabsapp Project actually has soo much potential and perfect for RH paying out stocks. Can you fix some of the pages in the website you can’t scroll properly. Also more ways for ppl to upload regular data for payout maybe without doing tasks? Like camera roll etc. and GitHub pls! Down to dm and give more ideas

• 
  Bart De Ruyck (@bartderuyck) reported 32 minutes ago

  @MarkJSzymanski You lost me at "no server to go down". How do you think static files are served to visitors, then? Whether it's Github Pages, Cloudflare Workers, Vercel, whatever: it's on a server. And it can go down.

• 
  Scarlett claira (@AItechscarlett) reported 34 minutes ago

  In 2014 a Swedish engineer named Knut Sveidqvist lost a Microsoft Visio file. He went to open the diagram he had drawn a few months earlier. It was gone. Every box, every arrow, every label. All of it had to be redrawn by clicking through Visio menus again. That night his kids were watching The Little Mermaid on TV. He named his fix after the movie. Twelve years later Mermaid has 89,101 GitHub stars, 8 million users, and native rendering inside GitHub, GitLab, Notion, Obsidian, VS Code, and Confluence. Here is what the paid market still charges to draw the same boxes. Microsoft Visio Plan 2. $15 per user per month. Lucidchart Team. $10 per user per month with a three-user minimum. Miro Business. $20 per user per month. Fifty engineers on Miro Business burns $12,000 a year to draw arrows between boxes. Mermaid replaced the drag-and-drop editor with a text spec that reads like Markdown. ``` graph TD A[User] --> B[Login] B --> C{Valid?} C -->|Yes| D[Dashboard] C -->|No| E[Error] ``` Ten lines. Renders as a real diagram. Every version of Claude, ChatGPT, Gemini, and Cursor already knows how to write it. You describe your architecture in plain English and the model returns a Mermaid block. Paste it into a GitHub README. Paste it into an issue. Paste it into a pull request. GitHub renders it inline as a live SVG. No plugin. No sign-in. The paid tools shipped drag-and-drop editors. Mermaid shipped a text spec that the LLMs learned on their own. Flowcharts, sequence diagrams, class diagrams, state diagrams, entity-relationship diagrams, user journey maps, Gantt charts, pie charts, *** graphs, mindmaps, timelines, C4 architecture diagrams, treemaps. Anything you would open Visio for. Version 11.16.0 shipped two weeks ago. Because the diagram is text, it lives in your repo. Because it lives in your repo, it goes through code review. Because it goes through code review, it stops rotting. Nobody has to remember where the Lucidchart account is. Nobody has to pay $10 a month to reopen a five-year-old file. MIT license. 89,101 stars. TypeScript. The library is free forever. Mermaid Chart the company sells a hosted editor on top for teams that want one, but the core stays MIT. Somebody in Sweden lost a Visio file and refused to draw it again. Twelve years later the paid diagram tools still exist, and nobody who writes software has to use one. (Link in the comments) @AItechscarlett

• 
  The Ramen Don (@RealRiddimHours) reported 34 minutes ago

  @GregoryGregman @rocksoverrocks @actualinc I guess that's true. I didn't really know what github did 9 months ago but through trial and error with ai assistance I'm able to make stuff now. Self teaching through AI has been doing wonders for me since 2023, its nuts

• 
  MadamAdam (@browndwarf6) reported 35 minutes ago

  @ssr_tourist I barely use a github and if you asked me how to I wouldn't know what to tell you lol but like if I do use it and go on there it was never a problem for me, maybe just a second of confusion cuz I was looking in the wrong direction but it's generally very easy to do

• 
  Aryan Patel (@aryan32736) reported 36 minutes ago

  @dayonefoundry @github Hey brother, can you help me out with this? I also have the same issue from GitHub.

• 
  Juan (@juanroberto82) reported 38 minutes ago

  @galluzzo_julian Hi Julian, I recently followed you in the July AI Web Design Sprint, and I have a question with regards to Ship Studio. As I finished building the initial figma site into Ship Studio when I try to push the site live I noticed I don't have access to both the "Push to Github to enable Vercel" button or "Create a GitHub repository first", both those buttons are inactive. I went ahead and asked Claude to help but I am not following what the the solution requires. When I go the main Ship Studio "homepage" I see both Github and Vercel are disconnected and even I do sign in to both successfully, I still see the same result. Can I please get some help in getting both services working in Ship Studio? I hope this makes sense. Thank you for your time. Juan Sierra

• 
  David Xiong (@david_y_xiong) reported 43 minutes ago

  (1/4) Reproduce Issue: first, one LLM call extracts {observed, expected} discrepancy pairs from the GitHub issue text, then a tool-calling subsession (bash/read/write, up to 70 turns) writes one failing test per discrepancy. The subsession gets different prompt nudges at fixed turn counts: first explore relevant files, then grep for sibling call-sites, then consider edge cases, and lastly run pytest and confirm every written test fails and produces a traceback.

• 
  Al Fraser (@fraseriii) reported 45 minutes ago

  @tonysimons_ I got an error message while trying to sign up with Github account. "Your email domain isn't approved for sign-up yet. Please use an allowed email address or contact support." Did you sign up with Google?

• 
  Ben Eng (@jetpen) reported 45 minutes ago

  @soncharm I don't think he has a GitHub project where you can submit issues for bug fixing.

• 
  Finn (@F1nn_2010) reported 46 minutes ago

  @GoogleAIStudio can u pleas make importing from github work, it always errors, can u make a button to skip unsupported files or somthing

• 
  Gipp 🦅 (@gippp69) reported 47 minutes ago

  F**KING 8,300-STAR REPO TURNS CLAUDE CODE INTO A PARALLEL SOFTWARE TEAM THAT PLANS, BUILDS, TRACKS, AND SHIPS ENTIRE FEATURES. the repo is called CCPM, with 830 forks, 40 watchers, 87 commits, and a strict 5-stage workflow designed to replace endless prompting with repeatable software delivery. you describe one product idea. It creates the PRD, converts it into a technical epic, breaks it into up to 10 scoped tasks, and syncs everything directly into GitHub Issues. one feature can launch 5 agents at once for the database, backend, API, frontend, and tests, while separate *** worktrees stop their files from colliding. fourteen deterministic scripts handle standups, status checks, blockers, search, and validation with zero LLM cost, while the same skill works across Claude Code, Codex, Cursor, Factory, Amp, and OpenCode. this is loop engineering in practice: design the system once, then let Claude keep finding work, delegating tasks, recording progress, and moving from one idea to verified code without waiting for your next prompt.

• 
  Ayhan Cicek (@CicekAyhan) reported 48 minutes ago

  @SatoshiGokumoto @ivanfioravanti @marcozerbato Twofold: I use github as a kanban board for a backlog and other lanes. Secondly I have a complete log of what I am doing and why. Never had an issue with gh.

• 
  Dastin (@dastin0x) reported 49 minutes ago

  Most people see a drone doing tricks. He sees $2,000 a property. A 25-year-old figured out that the estates, venues and buildings a phone can't capture are the highest-paying scans nobody is doing. He mounts a scanner on a heavy-lift drone, flies one slow pass, and walks away with a file that lets anyone on Earth tour the whole place from their couch. The tech is 3D Gaussian Splatting. Free on GitHub since 2023. The drone footage goes into Luma AI, also free. The tour page it delivers is built by Claude in ten minutes. Total tool cost: $20 a month. A phone scan of a bedroom sells for $300. A drone scan of a wedding venue, a car lot, a hotel, an estate sells for $800 to $2,000, and almost nobody is flying them. Month one: $3,500. Month six: $18,000. The buildings haven't changed. He just started flying the one thing that lets people walk through them without ever showing up.

• 
  Cennes100 (@Cennes100) reported 54 minutes ago

  EVERYONE PAYING FOR AI VIDEO TOOLS IS ABOUT TO FEEL SILLY. Most people see a slick paid tool like Higgs Field and assume that's just the price of entry. Locked behind a subscription, no way around it. That's the problem. People keep paying monthly for models they don't own, on servers they don't control. The mechanism: a guy named Anil Macha rebuilt the Higgs Field cinema studio and dropped it on GitHub, free and open source. Same idea, same workflow, zero paywall. The detail most people miss: this isn't a cloud wrapper charging per generation. It runs on open source models on your own computer. No subscription, no credits counting down. That changes what's possible: 1. Run cinema-style AI video locally, whenever you want 2. Iterate endlessly without burning credits 3. Tweak the pipeline instead of trusting a black box This isn't just "a free alternative dropped." It's proof the moat these tools lean on was never that deep. Most people use tools like Higgs Field because they think power has to be rented. This setup uses the same power and just... owns it. Follow: @Cennes100

• 
  Polsia (@polsia) reported 54 minutes ago

  Mobile QA teams spend half their sprint reproducing crashes instead of fixing them. SentinelQA monitors your apps continuously, catches regressions the moment they happen, and files bug reports automatically to Jira, Linear, or GitHub Issues.

• 
  Marsu (@marsuplamy) reported 55 minutes ago

  Think of blockchain like a very smart person locked in a room. Everything inside works perfectly, calculations are correct, rules hold, no one can cheat the system. But it can't talk to the outside world. It doesn't know the weather, doesn't know the market, doesn't know whether a job was completed or not. Unless someone comes in and tells it, it has no idea what's happening out there. This has been blockchain's fundamental problem for over a decade. Think about it through everyday examples. A freelancer finishes a job and pushes to GitHub. How would the smart contract know? There's a crop insurance agreement that says if it doesn't rain this month, the farmer gets compensated. How does the contract check the weather? A payment deal says if the dollar rate crosses a certain level, auto-conversion kicks in. Where does the contract pull the exchange rate from? The answer to all of these has always been the same. Set up an external oracle service, integrate it separately, trust it separately, pay for it separately. @RialoHQ solves this problem from inside the protocol. A smart contract can make a direct HTTP call to any web API with a single line of code. It can pull a GitHub pull request status, read weather data, fetch live exchange rates, query a company's credit score. None of these require setting up an external service because this capability is already built into the protocol. What does this mean in practice? Think back to the escrow system in Onyx. The client locked the funds, the freelancer pushed the work to GitHub. The contract looks directly at the GitHub API, checks whether the work was delivered, and automatically sends the payment once the condition is met. All of this happens with a single HTTP call and there is no middleman in between. Blockchain is no longer a smart person locked in a room. It's a system that can talk to the outside world, see what's really happening, and act on it.

• 
  Patrick C Toulme (@PatrickToulme) reported 55 minutes ago

  Many people are asking how did Kimi K3 catch up so fast to Western models? Simply, a frontier model really only requires compute, data and people. There is no magic secret. A few answers to this question 1. Kimi with help from the Chinese government has thousands if not tens of thousands of experts (lawyers, scientists, doctors, programmers.. etc.) making RL env data every day. A frontier model is RLed on “tasks”. Each one of these tasks needs to be created by either a human or an LLM. Claude did not wake up one day knowing how to use say the Github CLI. He learned how to use the Github CLI in an RL env.  Meta is pursuing this exact same strategy with its Applied AI org and IMO it appears to be working. 2. I have said this before regarding GLM 5.2 - Kimi obviously distilled from GPT 5.5 and Claude Opus. This only eliminated their cold start problem in RL, meaning they skipped say some X number of months in cold start RL. The mass number of RL envs created by their experts is still the most crucial part here, and you cannot attribute Kimi’s success to distillation. Distillation only saved them some time. 3. Agentic coding and frontier LLMs significantly accelerated their research. My hunch is they use proxies to access Claude API and GPT API for their own model development. Claude most likely wrote all their training code. This release leads to some very interesting questions. What happens now in a world in which an almost Fable class model is open sourced and free on July 27th? My view is intelligence / software will become very soon close to free. Chip makers and inference providers are big winners from Kimi’s success.

• 
  OpenShip (@openshipio) reported 1 hour ago

  @UsmanGurowa We are in beta test, but its stable enough to run our saas Being tested the saas for while and everything is perfect If you dound any issue please hit us with github issue