GHSA-w9pc-fmgc-vxvw CVE-2025-61771
Rack: Multipart parser buffers large non‑file fields entirely in memory, enabling DoS (memory exhaustion)
- Severity
- 7.5 / 10
- High · CVSS 3.1
- Exploit chance (EPSS)
- 0.56%
- Chance of exploitation in the next 30 days. Higher than 46.68% of scored vulnerabilities.
- Known exploited
- No
- Not in CISA's catalog
- Weakness
- CWE-400 Uncontrolled Resource Consumption
- Fix
2.2.19- Upgrade rack to this version or later
Description
Summary
Rack::Multipart::Parser stores non-file form fields (parts without a filename) entirely in memory as Ruby String objects. A single large text field in a multipart/form-data request (hundreds of megabytes or more) can consume equivalent process memory, potentially leading to out-of-memory (OOM) conditions and denial of service (DoS).
Details
During multipart parsing, file parts are streamed to temporary files, but non-file parts are buffered into memory:
body = String.new # non-file → in-RAM buffer
@mime_parts[mime_index].body << content
There is no size limit on these in-memory buffers. As a result, any large text field—while technically valid—will be loaded fully into process memory before being added to params.
Impact
Attackers can send large non-file fields to trigger excessive memory usage. Impact scales with request size and concurrency, potentially leading to worker crashes or severe garbage-collection overhead. All Rack applications processing multipart form submissions are affected.
Mitigation
- Upgrade: Use a patched version of Rack that enforces a reasonable size cap for non-file fields (e.g., 2 MiB).
- Workarounds:
- Restrict maximum request body size at the web-server or proxy layer (e.g., Nginx
client_max_body_size). - Validate and reject unusually large form fields at the application level.
- Restrict maximum request body size at the web-server or proxy layer (e.g., Nginx
Affected versions
RubyGems
| Package | Vulnerable | Fixed in |
|---|---|---|
| rack | < 2.2.19 |
2.2.19 |
| rack | >= 3.1, < 3.1.17 |
3.1.17 |
| rack | >= 3.2, < 3.2.2 |
3.2.2 |
How to fix
Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.
rack RubyGems → 2.2.19
- bundler
bundle update rack # Gemfile: gem "rack", ">= 2.2.19"
Severity breakdown
CVSS 3.1 7.5
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Attack vector
- Network
- Attack complexity
- Low
- Privileges required
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- None
- Integrity
- None
- Availability
- High
Weakness
CWE-400: Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource.
How to prevent it
- Architecture and Design: Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
- Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: recognizes the attack and denies that user further access for a given amount of time, or uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed. The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question. The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
- Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
- Implementation: Ensure that all failures in resource allocation place the system into a safe posture.
References
Advisories
Packages
Other links
- github.com/rack/rack/security/advisories/GHSA-w9pc-fmgc-vxvw
- github.com/rack/rack/commit/589127f4ac8b5cf11cf88fb0cd116ffed4d2181e
- github.com/rack/rack/commit/d869fed663b113b95a74ad53e1b5cae6ab31f29e
- github.com/rack/rack/commit/e08f78c656c9394d6737c022bde087e0f33336fd
- github.com/rubysec/ruby-advisory-db/blob/master/gems/rack/CVE-2025-61771.yml
Timeline
- Published
- Last updated by the source
- Latest EPSS score
Related advisories
| Advisory | Severity | Why it's related |
|---|---|---|
| GHSA-g2pf-xv49-m2h5 Rack::Request accepts invalid Host characters, enabling host allowlist bypass | Medium | Also affects rack |
| GHSA-v6x5-cg8r-vv6x Rack's multipart header parsing allows Denial of Service via escape-heavy quoted parameters | High | Also affects rack |
| GHSA-qfgr-crr9-7r49 Rack: Forwarded Header semicolon injection enables Host and Scheme spoofing | Medium | Also affects rack |
| GHSA-rx22-g9mx-qrhv Rack's improper unfolding of folded multipart headers preserves CRLF in parsed parameter values | Medium | Also affects rack |
| GHSA-q2ww-5357-x388 Rack has Content-Length mismatch in Rack::Files error responses | Medium | Also affects rack |
| GHSA-qv7j-4883-hwh7 Rack::Sendfile header-based X-Accel-Mapping regex injection enables unauthorized X-Accel-Redirect | High | Also affects rack |
| GHSA-8vqr-qjwx-82mw Rack's multipart parsing without Content-Length header allows unbounded chunked file uploads | High | Also affects rack |
| GHSA-x8cg-fq8g-mxfx Rack's multipart byte range processing allows denial of service via excessive overlapping ranges | High | Also affects rack |
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