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CVE-2025-61724: CWE-407: Inefficient Algorithmic Complexity in Go standard library net/textproto

0
Medium
VulnerabilityCVE-2025-61724cvecve-2025-61724cwe-407
Published: Wed Oct 29 2025 (10/29/2025, 22:10:14 UTC)
Source: CVE Database V5
Vendor/Project: Go standard library
Product: net/textproto

Description

The Reader.ReadResponse function constructs a response string through repeated string concatenation of lines. When the number of lines in a response is large, this can cause excessive CPU consumption.

AI-Powered Analysis

AILast updated: 11/05/2025, 23:24:40 UTC

Technical Analysis

CVE-2025-61724 identifies an inefficient algorithmic complexity vulnerability in the Go standard library's net/textproto package, specifically within the Reader.ReadResponse function. This function constructs a response string by concatenating multiple lines using repeated string concatenation, which is computationally expensive when the response contains a large number of lines. The inefficiency leads to excessive CPU consumption, potentially causing denial of service conditions by degrading application performance or causing service outages. The vulnerability affects all Go versions up to and including 1.25.0. The issue is categorized under CWE-407 (Improper Control of Resource Consumption), indicating that the algorithm's complexity can be exploited to exhaust CPU resources. The CVSS v3.1 base score is 5.3 (medium), reflecting that the vulnerability is remotely exploitable without authentication or user interaction, but only impacts availability. There are no known exploits in the wild as of the publication date. The vulnerability is relevant for any networked application or service using the Go net/textproto package to parse multi-line responses, particularly in environments processing large or untrusted inputs. Since the Go standard library is widely used in cloud-native applications, microservices, and network tools, this inefficiency can be leveraged by attackers to degrade service performance or cause outages through crafted responses with many lines. No official patch links are currently provided, so mitigation may require code-level changes or upgrading once patches are released.

Potential Impact

For European organizations, this vulnerability primarily threatens availability by enabling denial of service through excessive CPU consumption. Organizations running Go-based services that parse network responses with net/textproto are at risk of performance degradation or outages if exposed to crafted inputs with large multi-line responses. This can impact cloud service providers, SaaS platforms, and internal microservices, potentially disrupting business operations and causing downtime. The vulnerability does not affect confidentiality or integrity, so data breaches or unauthorized modifications are not a concern here. However, service unavailability can lead to financial losses, reputational damage, and compliance issues under regulations like GDPR if critical services are disrupted. The impact is more pronounced in high-load environments or where resource constraints are tight. Since exploitation requires no authentication or user interaction and can be triggered remotely, attackers can leverage this vulnerability to launch denial of service attacks at scale. European organizations relying on Go for backend infrastructure, especially those in finance, telecommunications, and cloud services, should prioritize mitigation to maintain service reliability.

Mitigation Recommendations

1. Monitor Go project announcements and promptly apply official patches or updates that address CVE-2025-61724 once released. 2. In the interim, review and refactor any custom code using net/textproto.Reader.ReadResponse to replace repeated string concatenation with more efficient string-building techniques, such as using strings.Builder or byte buffers. 3. Implement input validation and rate limiting on network endpoints to restrict the size and number of lines in responses processed by vulnerable functions. 4. Deploy resource usage monitoring and alerting to detect abnormal CPU consumption patterns indicative of exploitation attempts. 5. Use Web Application Firewalls (WAFs) or network filtering to block or throttle suspicious traffic that may trigger large multi-line responses. 6. Conduct code audits for other parts of the codebase that may use inefficient string concatenation patterns to prevent similar issues. 7. Educate developers about algorithmic complexity vulnerabilities and encourage secure coding practices for handling large inputs. 8. Consider isolating critical Go services in containerized or virtualized environments with CPU limits to mitigate impact from potential exploitation.

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Technical Details

Data Version
5.2
Assigner Short Name
Go
Date Reserved
2025-09-30T15:05:03.605Z
Cvss Version
null
State
PUBLISHED

Threat ID: 69029404f29b216d6d5e20db

Added to database: 10/29/2025, 10:24:04 PM

Last enriched: 11/5/2025, 11:24:40 PM

Last updated: 12/14/2025, 4:03:00 AM

Views: 93

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