CVE-2025-14673: Heap-based Buffer Overflow in gmg137 snap7-rs
A vulnerability has been found in gmg137 snap7-rs up to 1.142.1. Affected is the function snap7_rs::client::S7Client::as_ct_write of the file /tests/snap7-rs/src/client.rs. The manipulation leads to heap-based buffer overflow. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-14673 is a heap-based buffer overflow vulnerability identified in the snap7-rs library, an open-source Rust implementation used for communication with Siemens S7 PLCs (Programmable Logic Controllers). The vulnerability exists in the function snap7_rs::client::S7Client::as_ct_write located in the client.rs source file, specifically in versions 1.142.0 and 1.142.1. The flaw arises from improper handling of input data leading to a heap overflow condition, which can be triggered remotely without any authentication or user interaction. This allows an attacker to overwrite memory on the heap, potentially leading to arbitrary code execution, data corruption, or denial of service. The vulnerability affects the confidentiality, integrity, and availability of systems relying on snap7-rs for industrial communication. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and partial impact on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). Although no exploits are currently observed in the wild, the public disclosure of exploit code increases the risk of active exploitation. The vulnerability is particularly critical for industrial environments where snap7-rs is used to interface with Siemens S7 PLCs, which are prevalent in manufacturing and critical infrastructure automation.
Potential Impact
For European organizations, especially those in manufacturing, energy, and critical infrastructure sectors, this vulnerability poses a significant risk. Exploitation could allow attackers to remotely execute arbitrary code or cause denial of service on systems controlling industrial processes, potentially leading to operational disruptions, safety hazards, and data breaches. The partial compromise of confidentiality, integrity, and availability could result in manipulation of control commands, leakage of sensitive operational data, or shutdown of critical systems. Given the widespread use of Siemens S7 PLCs and snap7-rs in European industrial automation, the impact could be severe, affecting production lines, energy distribution, and transportation systems. The risk is heightened by the lack of authentication and user interaction requirements, making remote exploitation feasible over accessible networks. This could also facilitate lateral movement within industrial networks, amplifying the damage.
Mitigation Recommendations
1. Immediate network segmentation: Restrict access to snap7-rs services by isolating PLC communication networks from general IT networks and limiting access to trusted hosts only. 2. Implement strict firewall rules and intrusion detection systems to monitor and block suspicious traffic targeting snap7-rs endpoints. 3. Apply patches or updates from the vendor or maintainers of snap7-rs as soon as they become available; if no official patch exists, consider applying custom code reviews or temporary code hardening. 4. Employ application-layer filtering and input validation to detect and prevent malformed packets that could trigger the overflow. 5. Conduct regular security audits and penetration testing focused on industrial control systems to identify and remediate similar vulnerabilities. 6. Maintain up-to-date backups and incident response plans tailored for industrial environments to minimize downtime in case of exploitation. 7. Educate operational technology (OT) personnel about this vulnerability and encourage vigilance for unusual system behavior or network traffic.
Affected Countries
Germany, France, Italy, Netherlands, Belgium, Poland, Spain, Sweden
CVE-2025-14673: Heap-based Buffer Overflow in gmg137 snap7-rs
Description
A vulnerability has been found in gmg137 snap7-rs up to 1.142.1. Affected is the function snap7_rs::client::S7Client::as_ct_write of the file /tests/snap7-rs/src/client.rs. The manipulation leads to heap-based buffer overflow. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-14673 is a heap-based buffer overflow vulnerability identified in the snap7-rs library, an open-source Rust implementation used for communication with Siemens S7 PLCs (Programmable Logic Controllers). The vulnerability exists in the function snap7_rs::client::S7Client::as_ct_write located in the client.rs source file, specifically in versions 1.142.0 and 1.142.1. The flaw arises from improper handling of input data leading to a heap overflow condition, which can be triggered remotely without any authentication or user interaction. This allows an attacker to overwrite memory on the heap, potentially leading to arbitrary code execution, data corruption, or denial of service. The vulnerability affects the confidentiality, integrity, and availability of systems relying on snap7-rs for industrial communication. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and partial impact on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). Although no exploits are currently observed in the wild, the public disclosure of exploit code increases the risk of active exploitation. The vulnerability is particularly critical for industrial environments where snap7-rs is used to interface with Siemens S7 PLCs, which are prevalent in manufacturing and critical infrastructure automation.
Potential Impact
For European organizations, especially those in manufacturing, energy, and critical infrastructure sectors, this vulnerability poses a significant risk. Exploitation could allow attackers to remotely execute arbitrary code or cause denial of service on systems controlling industrial processes, potentially leading to operational disruptions, safety hazards, and data breaches. The partial compromise of confidentiality, integrity, and availability could result in manipulation of control commands, leakage of sensitive operational data, or shutdown of critical systems. Given the widespread use of Siemens S7 PLCs and snap7-rs in European industrial automation, the impact could be severe, affecting production lines, energy distribution, and transportation systems. The risk is heightened by the lack of authentication and user interaction requirements, making remote exploitation feasible over accessible networks. This could also facilitate lateral movement within industrial networks, amplifying the damage.
Mitigation Recommendations
1. Immediate network segmentation: Restrict access to snap7-rs services by isolating PLC communication networks from general IT networks and limiting access to trusted hosts only. 2. Implement strict firewall rules and intrusion detection systems to monitor and block suspicious traffic targeting snap7-rs endpoints. 3. Apply patches or updates from the vendor or maintainers of snap7-rs as soon as they become available; if no official patch exists, consider applying custom code reviews or temporary code hardening. 4. Employ application-layer filtering and input validation to detect and prevent malformed packets that could trigger the overflow. 5. Conduct regular security audits and penetration testing focused on industrial control systems to identify and remediate similar vulnerabilities. 6. Maintain up-to-date backups and incident response plans tailored for industrial environments to minimize downtime in case of exploitation. 7. Educate operational technology (OT) personnel about this vulnerability and encourage vigilance for unusual system behavior or network traffic.
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-12-13T16:36:42.608Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 693ef8c5b0f1e1d5300e83c3
Added to database: 12/14/2025, 5:49:57 PM
Last enriched: 12/14/2025, 6:05:05 PM
Last updated: 12/15/2025, 5:17:09 AM
Views: 20
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