CVE-2025-61723: CWE-407: Inefficient Algorithmic Complexity in Go standard library encoding/pem
The processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs.
AI Analysis
Technical Summary
CVE-2025-61723 is a vulnerability classified under CWE-407 (Inefficient Algorithmic Complexity) found in the Go standard library's encoding/pem package. The issue arises because the parsing algorithm for PEM-encoded data exhibits non-linear processing time growth when handling certain malformed or invalid inputs. Specifically, as the size of crafted invalid PEM inputs increases, the CPU time required to parse them grows disproportionately, leading to potential resource exhaustion. This flaw can be exploited remotely without authentication or user interaction by sending specially crafted PEM data to applications that utilize the vulnerable Go library for PEM parsing, such as TLS certificate processing or cryptographic key handling. The vulnerability affects all Go versions from 0 up to and including 1.25.0. The CVSS v3.1 base score is 7.5, reflecting a high severity due to the network attack vector, low attack complexity, no privileges required, no user interaction, and impact limited to availability (denial of service). No known public exploits have been reported yet, but the vulnerability could be leveraged to cause denial-of-service conditions by overwhelming CPU resources, potentially disrupting critical services. The lack of a patch link indicates that a fix may still be pending or in development. Organizations using Go for services exposed to untrusted PEM inputs should be aware of this risk and prepare mitigation strategies.
Potential Impact
The primary impact of CVE-2025-61723 is denial of service through resource exhaustion. European organizations that deploy Go-based applications or services parsing PEM-encoded data from untrusted sources—such as web servers, certificate management systems, or cryptographic tools—may experience service outages or degraded performance. This can affect availability of critical infrastructure, including secure communications and authentication services. Given the widespread use of Go in cloud-native environments, microservices, and DevOps tooling, the vulnerability could disrupt automated certificate renewal processes or security appliances that rely on PEM parsing. The impact is particularly significant for organizations with high volumes of external connections or those exposed to the internet, as attackers can remotely trigger the vulnerability without authentication. This could lead to operational downtime, increased incident response costs, and potential reputational damage. Confidentiality and integrity are not directly impacted, but availability degradation can indirectly affect business continuity and security posture.
Mitigation Recommendations
To mitigate CVE-2025-61723, organizations should: 1) Monitor for and apply updates to the Go standard library as soon as a patch is released addressing this vulnerability. 2) Implement input validation to reject obviously malformed or excessively large PEM inputs before parsing. 3) Employ rate limiting and connection throttling on services that accept PEM data from untrusted sources to reduce exposure to resource exhaustion attacks. 4) Use resource monitoring and alerting to detect abnormal CPU usage patterns during PEM parsing operations. 5) Where possible, isolate PEM parsing functionality in separate processes or containers with resource limits to contain potential DoS effects. 6) Review and audit codebases to identify all usages of the encoding/pem package and assess exposure. 7) Consider fallback or alternative parsing libraries if patching is delayed. These steps go beyond generic advice by focusing on proactive input handling, resource control, and architectural isolation to reduce risk until official fixes are available.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Finland
CVE-2025-61723: CWE-407: Inefficient Algorithmic Complexity in Go standard library encoding/pem
Description
The processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs.
AI-Powered Analysis
Technical Analysis
CVE-2025-61723 is a vulnerability classified under CWE-407 (Inefficient Algorithmic Complexity) found in the Go standard library's encoding/pem package. The issue arises because the parsing algorithm for PEM-encoded data exhibits non-linear processing time growth when handling certain malformed or invalid inputs. Specifically, as the size of crafted invalid PEM inputs increases, the CPU time required to parse them grows disproportionately, leading to potential resource exhaustion. This flaw can be exploited remotely without authentication or user interaction by sending specially crafted PEM data to applications that utilize the vulnerable Go library for PEM parsing, such as TLS certificate processing or cryptographic key handling. The vulnerability affects all Go versions from 0 up to and including 1.25.0. The CVSS v3.1 base score is 7.5, reflecting a high severity due to the network attack vector, low attack complexity, no privileges required, no user interaction, and impact limited to availability (denial of service). No known public exploits have been reported yet, but the vulnerability could be leveraged to cause denial-of-service conditions by overwhelming CPU resources, potentially disrupting critical services. The lack of a patch link indicates that a fix may still be pending or in development. Organizations using Go for services exposed to untrusted PEM inputs should be aware of this risk and prepare mitigation strategies.
Potential Impact
The primary impact of CVE-2025-61723 is denial of service through resource exhaustion. European organizations that deploy Go-based applications or services parsing PEM-encoded data from untrusted sources—such as web servers, certificate management systems, or cryptographic tools—may experience service outages or degraded performance. This can affect availability of critical infrastructure, including secure communications and authentication services. Given the widespread use of Go in cloud-native environments, microservices, and DevOps tooling, the vulnerability could disrupt automated certificate renewal processes or security appliances that rely on PEM parsing. The impact is particularly significant for organizations with high volumes of external connections or those exposed to the internet, as attackers can remotely trigger the vulnerability without authentication. This could lead to operational downtime, increased incident response costs, and potential reputational damage. Confidentiality and integrity are not directly impacted, but availability degradation can indirectly affect business continuity and security posture.
Mitigation Recommendations
To mitigate CVE-2025-61723, organizations should: 1) Monitor for and apply updates to the Go standard library as soon as a patch is released addressing this vulnerability. 2) Implement input validation to reject obviously malformed or excessively large PEM inputs before parsing. 3) Employ rate limiting and connection throttling on services that accept PEM data from untrusted sources to reduce exposure to resource exhaustion attacks. 4) Use resource monitoring and alerting to detect abnormal CPU usage patterns during PEM parsing operations. 5) Where possible, isolate PEM parsing functionality in separate processes or containers with resource limits to contain potential DoS effects. 6) Review and audit codebases to identify all usages of the encoding/pem package and assess exposure. 7) Consider fallback or alternative parsing libraries if patching is delayed. These steps go beyond generic advice by focusing on proactive input handling, resource control, and architectural isolation to reduce risk until official fixes are available.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Go
- Date Reserved
- 2025-09-30T15:05:03.604Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69029404f29b216d6d5e20d5
Added to database: 10/29/2025, 10:24:04 PM
Last enriched: 11/5/2025, 11:24:13 PM
Last updated: 2/7/2026, 12:01:28 AM
Views: 196
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2026-25762: CWE-400: Uncontrolled Resource Consumption in adonisjs core
HighCVE-2026-25754: CWE-1321: Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') in adonisjs core
HighCVE-2026-25644: CWE-295: Improper Certificate Validation in datahub-project datahub
HighCVE-2026-25804: CWE-287: Improper Authentication in antrea-io antrea
HighCVE-2026-25803: CWE-798: Use of Hard-coded Credentials in denpiligrim 3dp-manager
CriticalActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.