CVE-2025-7616: Memory Corruption in gmg137 snap7-rs
A vulnerability, which was classified as critical, has been found in gmg137 snap7-rs up to 1.142.1. Affected by this issue is the function pthread_cond_destroy of the component Public API. The manipulation leads to memory corruption. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-7616 is a memory corruption vulnerability identified in the gmg137 snap7-rs library, specifically affecting versions 1.142.0 and 1.142.1. The flaw resides in the pthread_cond_destroy function within the Public API component. This function is responsible for destroying condition variables used in thread synchronization. Improper handling or manipulation of this function can lead to memory corruption, which may cause undefined behavior such as crashes, data corruption, or potentially arbitrary code execution. The vulnerability has been publicly disclosed, and although no known exploits are currently observed in the wild, the availability of exploit information increases the risk of future attacks. The CVSS 4.0 base score is 5.1, indicating a medium severity level. The vector details show that the attack vector is adjacent network (AV:A), requiring low attack complexity (AC:L), no user interaction (UI:N), and low privileges (PR:L). The impact on confidentiality, integrity, and availability is low, suggesting limited but non-negligible consequences. The vulnerability does not require user interaction but does require some level of privilege, which may limit exploitation to authenticated or internal users. The scope is unchanged, and no security controls are bypassed. The absence of patches at the time of reporting means that affected organizations must rely on mitigation strategies until an official fix is released.
Potential Impact
For European organizations, the impact of CVE-2025-7616 depends largely on the deployment of the snap7-rs library within their industrial or automation environments. Snap7-rs is commonly used for communication with Siemens S7 PLCs (Programmable Logic Controllers), which are prevalent in industrial control systems (ICS) and manufacturing sectors. Memory corruption vulnerabilities can lead to system instability, denial of service, or potentially allow attackers to execute arbitrary code, which could disrupt critical industrial processes. Given Europe's strong manufacturing base and reliance on automation, especially in countries like Germany, France, and Italy, exploitation could result in operational downtime, safety risks, and financial losses. However, the medium severity and requirement for low privileges limit the risk to environments where the attacker already has some access. The lack of known active exploits reduces immediate threat but does not eliminate future risk. Organizations in sectors such as automotive, energy, and critical infrastructure should be particularly vigilant.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should first inventory their use of snap7-rs versions 1.142.0 and 1.142.1 and identify affected systems. Until an official patch is released, organizations should restrict access to systems running the vulnerable library, especially limiting network adjacency to trusted hosts and enforcing strict access controls to prevent unauthorized or low-privilege users from interacting with the affected API. Implement network segmentation to isolate industrial control systems from general IT networks and external access. Employ runtime memory protection mechanisms such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) where possible. Monitor logs and system behavior for signs of memory corruption or abnormal crashes. Engage with the vendor or open-source maintainers to track patch releases and apply updates promptly once available. Additionally, conduct penetration testing and vulnerability scanning focused on snap7-rs components to detect exploitation attempts.
Affected Countries
Germany, France, Italy, United Kingdom, Netherlands, Belgium, Poland, Czech Republic
CVE-2025-7616: Memory Corruption in gmg137 snap7-rs
Description
A vulnerability, which was classified as critical, has been found in gmg137 snap7-rs up to 1.142.1. Affected by this issue is the function pthread_cond_destroy of the component Public API. The manipulation leads to memory corruption. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-7616 is a memory corruption vulnerability identified in the gmg137 snap7-rs library, specifically affecting versions 1.142.0 and 1.142.1. The flaw resides in the pthread_cond_destroy function within the Public API component. This function is responsible for destroying condition variables used in thread synchronization. Improper handling or manipulation of this function can lead to memory corruption, which may cause undefined behavior such as crashes, data corruption, or potentially arbitrary code execution. The vulnerability has been publicly disclosed, and although no known exploits are currently observed in the wild, the availability of exploit information increases the risk of future attacks. The CVSS 4.0 base score is 5.1, indicating a medium severity level. The vector details show that the attack vector is adjacent network (AV:A), requiring low attack complexity (AC:L), no user interaction (UI:N), and low privileges (PR:L). The impact on confidentiality, integrity, and availability is low, suggesting limited but non-negligible consequences. The vulnerability does not require user interaction but does require some level of privilege, which may limit exploitation to authenticated or internal users. The scope is unchanged, and no security controls are bypassed. The absence of patches at the time of reporting means that affected organizations must rely on mitigation strategies until an official fix is released.
Potential Impact
For European organizations, the impact of CVE-2025-7616 depends largely on the deployment of the snap7-rs library within their industrial or automation environments. Snap7-rs is commonly used for communication with Siemens S7 PLCs (Programmable Logic Controllers), which are prevalent in industrial control systems (ICS) and manufacturing sectors. Memory corruption vulnerabilities can lead to system instability, denial of service, or potentially allow attackers to execute arbitrary code, which could disrupt critical industrial processes. Given Europe's strong manufacturing base and reliance on automation, especially in countries like Germany, France, and Italy, exploitation could result in operational downtime, safety risks, and financial losses. However, the medium severity and requirement for low privileges limit the risk to environments where the attacker already has some access. The lack of known active exploits reduces immediate threat but does not eliminate future risk. Organizations in sectors such as automotive, energy, and critical infrastructure should be particularly vigilant.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should first inventory their use of snap7-rs versions 1.142.0 and 1.142.1 and identify affected systems. Until an official patch is released, organizations should restrict access to systems running the vulnerable library, especially limiting network adjacency to trusted hosts and enforcing strict access controls to prevent unauthorized or low-privilege users from interacting with the affected API. Implement network segmentation to isolate industrial control systems from general IT networks and external access. Employ runtime memory protection mechanisms such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) where possible. Monitor logs and system behavior for signs of memory corruption or abnormal crashes. Engage with the vendor or open-source maintainers to track patch releases and apply updates promptly once available. Additionally, conduct penetration testing and vulnerability scanning focused on snap7-rs components to detect exploitation attempts.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-07-13T21:04:11.993Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6875263ba83201eaacc7f113
Added to database: 7/14/2025, 3:46:03 PM
Last enriched: 7/14/2025, 4:01:10 PM
Last updated: 7/15/2025, 8:55:34 PM
Views: 7
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