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Cybersecurity and AI · Google OSS VRP case

Google paused rewards for flaws in open-source software: too many reports to check

Published Oct 19, 2026 · Last revised: Oct 19, 2026 · 10 to 12 minute read

When someone finds a security flaw in open-source software, Google used to pay a reward for it. Since October 1, that payment for product flaws has been paused. The reason is a curiosity with consequences: it became too easy to send reports, and checking them is still human work.

In 30 seconds

  • Since Oct 1, 2026, Google has not accepted new product flaw reports in the OSS VRP, the open-source software reward program created in August 2022. The news became public on Oct 5.
  • The reason, according to Google (in a post on X cited by the press): a significant increase in automated submissions, the vast majority of them invalid. The translation is ours.
  • The pause is temporary. Google promises an update in Q1 2027. Reports sent before Oct 1, supply chain reports, Patch Rewards (up to $15,000) and the Cloud VRP remain in force.
  • Our reading: the cost of generating a report plummeted, and the cost of checking it did not. The one who checks is a person.
  • Decision for the next 30 days: which open-source components underpin the company's systems, and who follows their security notices?

What happened

A bug bounty program works like this: a company promises to pay whoever finds a security defect and warns it before a criminal exploits it. The OSS VRP (Open Source Software Vulnerability Reward Program) is Google's version for open-source projects it maintains. It launched in August 2022, with rewards from $100 to $31,337.

In 2025, according to BleepingComputer, Google paid a record $17.1 million to more than 700 researchers, across all its programs, 40% more than the $12 million of 2024. In other words, the channel was thriving. In October 2026, part of it was paused.

Timeline

Google OSS VRP case timelineAugust 2022: OSS VRP created. January 2026: curl ends its program. Mid-September 2026: Intel withdraws rewards. October 1, 2026: Google pauses. October 5: news goes public. First quarter of 2027: update promised.Timeline: from the program to the pauseAug 2022OSS VRP is created$100 to $31,337 rewardsJan 2026curl endsits program on HackerOnemid-Sep 2026Intel withdrawscash rewards (Intigriti)Oct 1, 2026Google pausesproduct flaws in the OSS VRPOct 5, 2026News goes publicBleepingComputer and Help Net SecurityQ1 2027Update promisedby Google
Timeline built from the articles cited in the sources. Intel and curl are included as context, with no causal link to the Google case.

What is known and what is not

Confirmed in the articles that cite GoogleNot known, or our reading
Pause for product flaws in the OSS VRP since Oct 1, 2026.How many reports arrived and what fraction was invalid: Google did not disclose numbers.
Stated reason: a rise in automated submissions, the vast majority invalid.Whether those submissions were generated by AI. The press speaks of "AI slop", but Google's word is "automated".
Temporary pause, with an update promised for Q1 2027.How the program returns and whether there will be new submission rules.
Patch Rewards, supply chain, Cloud VRP and reports from before Oct 1 continue.Whether the pause actually reduces the number of flaws fixed. There is no data.
curl ended its bounty on HackerOne in January 2026 over low-quality AI reports. Intel withdrew cash rewards on Intigriti in mid-September.Intel's reason: it did not explain, and the case cannot be linked to AI.
Two reading cautions. (1) We read the official explanation through the articles, which cite Google's post on X. We could not read the program page in full, so we treat the text as quoted, not as seen at the source. (2) "Automated submission" does not necessarily mean "made by AI". The articles use both ideas, but Google says only "automated".

The math that does not add up, in a picture

Diagram of the asymmetry between generating and checking reportsGenerating an automatic report is fast and cheap; checking each one takes people and time; the queue grows and the good report gets lost in the middle.Why the math does not add up (our diagram)Generate the reportautomatic, at scalefast and cheapCheck each oneread, reproduce,test, replytakes people and timeQueue growsthe good reportgets lost in the middle
Our explanatory diagram. Google did not disclose numbers of reports received or of invalid ones.

Executive view: risk, gain and decision

Risk

Gain

Decision for the next 30 days

  1. Which open-source components underpin our systems and who is accountable for them?
  2. Who follows the security notices for those components?
  3. If we receive flaw reports (from customers, partners or researchers), who reads them and how quickly do they respond?

Commercial application: where there is revenue, savings, advantage or brand and contract risk

Operational view: processes, people and routines

Infrastructure view: cloud, network, servers and dependencies

Security view: prevent, detect and respond

Prevent

Detect

Respond

Technology view: how it works inside

The path of a report

  1. A researcher finds suspicious behavior in the code.
  2. They write a report: what happens, in which version, how to reproduce it and what the impact is.
  3. The triage team tries to reproduce it. If it cannot, the report is returned or rejected.
  4. If the flaw is real, it receives a severity, a fix and, in the end, the reward.

Where automation comes in

Automated tools and language models can produce texts that look like complete reports, with a file name, a code snippet and an explanation. What they cannot always do is prove that the flaw exists and can be exploited. For the person checking, a report that looks good and does not hold up costs almost as much time as a good one. This is our general explanation, consistent with the reason Google gave, but without numbers from Google.

Similar cases

In January 2026, curl, a widely used open-source project, ended its bounty program on HackerOne over low-quality AI reports, according to BleepingComputer. In mid-September, Intel withdrew cash rewards from its Intigriti program without explaining why. In Intel's case there is no basis to link the decision to AI.

Opinion: the most interesting part is the inversion. For years, the security problem was finding the few flaws. Here, the problem is separating the few real ones from a flood that looks like them.

For the general reader: what to do today

Terms in this article

These terms should go into the channel's glossary. Until they are added, they are defined here.

Bug bounty program
A program in which a company pays whoever finds and reports a security flaw.
OSS VRP
Google's program that paid for flaws in open-source projects it maintains. Since Oct 1, 2026, it does not accept new product flaw reports.
Free and open-source software
Programs whose code can be read, used and changed by other people, according to each project's license.
Triage
Separating what is serious, what is noise and what needs more information, before acting.
False positive
A notice that looks like a flaw but is not.
Software supply chain
The set of components, tools and vendors that a piece of software depends on.
Patch Rewards
Google's program that pays up to $15,000 for security improvements in open projects.
Cloud VRP
Google Cloud's reward program.
SBOM
A list of the components that make up a piece of software, with their versions.

Sources

Primary

Journalistic

Technical discussions (context, not a source of facts)

Cross-check: where the sources differ

Final question

When AI produces more than can be read, who decides what matters? Reply by Instagram direct message to @techtraduzida and tell us how your team handles this point. If this content helped, follow the profile, like and share: it helps develop and spread the channel.