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🐍 PyPI

GHSA-c8rr-9gxc-jprv

HIGH

UltraJSON has an integer overflow handling large indent leads to buffer overflow or infinite loop

Also known asCVE-2026-32875
Published
Mar 18, 2026
Updated
Mar 23, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk33th percentile+0.34%
0.00%0.30%0.61%0.91%0.0%0.1%0.1%0.4%Apr 26Jun 26Jun 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

1 pkg affected
🐍ujson

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Summary

ujson.dumps() crashes the Python interpreter (segmentation fault) when the product of the indent parameter and the nested depth of the input exceeds INT32_MAX. It can also get stuck in an infinite loop if the indent is a large negative number. Both are caused by an integer overflow/underflow whilst calculating how much memory to reserve for indentation. And both can be used to achieve denial of service.

(Note: A negative indent to ujson means add spaces after colons but do not add line breaks or indentation. It is unclear to the current maintainers whether this was ever even an intended feature or just a byproduct of the way it was written.)

Exploitability

To be vulnerable, a service must call ujson.dump()/ujson.dumps()/ujson.encode() whilst giving untrusted users control over the indent parameter and not restrict that indentation to reasonably small non-negative values. (Even with the fix for this vulnerability, such usage is strongly advised against since even a bug-free JSON serialiser would be vulnerable to denial of service simply by the attacker requesting indents that have the server needlessly filling out gigabytes of whitespace.)

A service may also be vulnerable to the infinite loop if it uses a fixed negative indent. An underflow always occurs for any negative indent when the input data is at least one level nested but, for small negative indents, the underflow is usually accidentally rectified by another overflow. As far as the maintainers are aware, the infinite loop can not be reached for indentations from -1 to -65536 / max_recursion_depth_as_limited_by_stack_size but users of negative indents are encouraged to consider their service affected even if the infinite loop seems unreachable.

Example

import ujson

def example(depth, indent):
    a = [0]
    for i in range(1000):
        a = [a]
    ujson.dumps(a, indent=indent)

example(1, 2**30)  # segfault
example(1000, -200)  # infinite loop

Patches

ujson 5.12.0, containing 486bd4553dc471a1de11613bc7347a6b318e37ea, promotes the integer types where the overflow occurred, skips the indentation code path for negative indent (which was supposed to be a no-op) and places an artificial cap of 1000 on the indent parameter.

Workarounds

Users who don't wish to upgrade can either use a fixed indentation, no indentation or ensure indentation is non-negative and not enormous (below 2**31 / max_recursion_depth_as_limited_by_stack_size).

References

The original bug report can be found at https://github.com/ultrajson/ultrajson/issues/700

This issue was independently discovered by @coco1629, @EthanKim88 and @vmfunc.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIujson5.1.0&&< 5.12.05.12.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for ujson. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update ujson to 5.12.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-c8rr-9gxc-jprv is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-c8rr-9gxc-jprv is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-c8rr-9gxc-jprv. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Summary `ujson.dumps()` crashes the Python interpreter (segmentation fault) when the product of the `indent` parameter and the nested depth of the input exceeds INT32_MAX. It can also get stuck in an infinite loop if the `indent` is a large negative number. Both are caused by an integer overflow/underflow whilst calculating how much memory to reserve for indentation. And both can be used to achieve denial of service. (Note: A negative indent to `ujson` means add spaces after colons but do not add line breaks or indentation. It is unclear to the current maintainers whether this was ever e
O3 Security · Impact-Aware SCA

Is GHSA-c8rr-9gxc-jprv in your dependencies?

O3 detects GHSA-c8rr-9gxc-jprv across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.