CVE-2023-49081: CWE-20: Improper Input Validation in aio-libs aiohttp
aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. Improper validation made it possible for an attacker to modify the HTTP request (e.g. to insert a new header) or create a new HTTP request if the attacker controls the HTTP version. The vulnerability only occurs if the attacker can control the HTTP version of the request. This issue has been patched in version 3.9.0.
AI Analysis
Technical Summary
CVE-2023-49081 is a vulnerability categorized under CWE-20 (Improper Input Validation) found in aiohttp, an asynchronous HTTP client/server framework widely used in Python applications leveraging asyncio. The vulnerability stems from insufficient validation of the HTTP version field in incoming requests. If an attacker can control the HTTP version, they can manipulate the HTTP request by injecting new headers or even crafting new HTTP requests. This manipulation can lead to unauthorized modification of request data, potentially bypassing security controls or causing unintended behavior in server logic. The vulnerability affects aiohttp versions prior to 3.9.0, where the input validation logic did not properly sanitize or restrict the HTTP version field. Exploitation does not require privileges or user interaction, and the attack vector is network-based. The CVSS 3.1 score of 7.2 reflects a high severity due to the ease of remote exploitation and the impact on confidentiality and integrity. The vulnerability does not affect availability. The issue was publicly disclosed on November 30, 2023, and has been addressed in aiohttp version 3.9.0. No public exploits have been reported, but the potential for misuse exists, especially in environments exposing aiohttp-based services to untrusted networks.
Potential Impact
For European organizations, this vulnerability poses a significant risk to the confidentiality and integrity of data processed by aiohttp-based applications. Attackers exploiting this flaw could manipulate HTTP requests to bypass security controls, inject malicious headers, or alter request semantics, potentially leading to unauthorized access or data leakage. Organizations running web services, APIs, or microservices using vulnerable aiohttp versions are at risk, especially those exposed to the internet or untrusted networks. The impact is heightened in sectors handling sensitive or regulated data, such as finance, healthcare, and government, where data integrity and confidentiality are paramount. Additionally, compromised services could be leveraged as pivot points for further attacks within internal networks. Given the widespread use of Python and aiohttp in modern asynchronous web applications, the scope of affected systems could be broad, increasing the potential attack surface across European enterprises.
Mitigation Recommendations
European organizations should immediately audit their environments to identify any aiohttp deployments running versions earlier than 3.9.0. The primary mitigation is to upgrade all affected aiohttp instances to version 3.9.0 or later, where the vulnerability has been patched. For environments where immediate upgrade is not feasible, implementing network-level controls such as web application firewalls (WAFs) to filter or block suspicious HTTP version values could reduce exposure. Additionally, organizations should enforce strict input validation and sanitization on HTTP requests at the application layer where possible. Monitoring and logging HTTP request anomalies, especially unusual HTTP version strings, can help detect exploitation attempts. Security teams should also review incident response plans to address potential exploitation scenarios. Finally, developers should be educated on secure coding practices related to input validation to prevent similar issues in future asynchronous HTTP handling code.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Italy, Spain, Poland
CVE-2023-49081: CWE-20: Improper Input Validation in aio-libs aiohttp
Description
aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. Improper validation made it possible for an attacker to modify the HTTP request (e.g. to insert a new header) or create a new HTTP request if the attacker controls the HTTP version. The vulnerability only occurs if the attacker can control the HTTP version of the request. This issue has been patched in version 3.9.0.
AI-Powered Analysis
Technical Analysis
CVE-2023-49081 is a vulnerability categorized under CWE-20 (Improper Input Validation) found in aiohttp, an asynchronous HTTP client/server framework widely used in Python applications leveraging asyncio. The vulnerability stems from insufficient validation of the HTTP version field in incoming requests. If an attacker can control the HTTP version, they can manipulate the HTTP request by injecting new headers or even crafting new HTTP requests. This manipulation can lead to unauthorized modification of request data, potentially bypassing security controls or causing unintended behavior in server logic. The vulnerability affects aiohttp versions prior to 3.9.0, where the input validation logic did not properly sanitize or restrict the HTTP version field. Exploitation does not require privileges or user interaction, and the attack vector is network-based. The CVSS 3.1 score of 7.2 reflects a high severity due to the ease of remote exploitation and the impact on confidentiality and integrity. The vulnerability does not affect availability. The issue was publicly disclosed on November 30, 2023, and has been addressed in aiohttp version 3.9.0. No public exploits have been reported, but the potential for misuse exists, especially in environments exposing aiohttp-based services to untrusted networks.
Potential Impact
For European organizations, this vulnerability poses a significant risk to the confidentiality and integrity of data processed by aiohttp-based applications. Attackers exploiting this flaw could manipulate HTTP requests to bypass security controls, inject malicious headers, or alter request semantics, potentially leading to unauthorized access or data leakage. Organizations running web services, APIs, or microservices using vulnerable aiohttp versions are at risk, especially those exposed to the internet or untrusted networks. The impact is heightened in sectors handling sensitive or regulated data, such as finance, healthcare, and government, where data integrity and confidentiality are paramount. Additionally, compromised services could be leveraged as pivot points for further attacks within internal networks. Given the widespread use of Python and aiohttp in modern asynchronous web applications, the scope of affected systems could be broad, increasing the potential attack surface across European enterprises.
Mitigation Recommendations
European organizations should immediately audit their environments to identify any aiohttp deployments running versions earlier than 3.9.0. The primary mitigation is to upgrade all affected aiohttp instances to version 3.9.0 or later, where the vulnerability has been patched. For environments where immediate upgrade is not feasible, implementing network-level controls such as web application firewalls (WAFs) to filter or block suspicious HTTP version values could reduce exposure. Additionally, organizations should enforce strict input validation and sanitization on HTTP requests at the application layer where possible. Monitoring and logging HTTP request anomalies, especially unusual HTTP version strings, can help detect exploitation attempts. Security teams should also review incident response plans to address potential exploitation scenarios. Finally, developers should be educated on secure coding practices related to input validation to prevent similar issues in future asynchronous HTTP handling code.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2023-11-21T18:57:30.428Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69092145fe7723195e053fec
Added to database: 11/3/2025, 9:40:21 PM
Last enriched: 11/3/2025, 10:07:16 PM
Last updated: 11/6/2025, 9:30:51 AM
Views: 4
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