CVE-2026-4851: CWE-502 Deserialization of Untrusted Data in CASIANO GRID::Machine
CVE-2026-4851 is a deserialization vulnerability in CASIANO GRID::Machine versions through 0. 127 for Perl that allows arbitrary code execution on the client. The vulnerability arises because the client deserializes data from remote hosts using Perl's eval() on untrusted input, enabling a compromised remote host to execute malicious Perl code silently during RPC calls. This unsafe deserialization occurs in the read_operation() function, which processes Dumper-formatted responses from remote hosts. The vulnerability is by design but lacks documentation warning users about the trust requirement for remote hosts. Exploitation requires a malicious or compromised remote host in the RPC communication chain. No CVSS score is assigned yet, and no known exploits are reported in the wild. Organizations using GRID::Machine for remote Perl code execution over SSH are at risk if they connect to untrusted or compromised hosts.
AI Analysis
Technical Summary
CVE-2026-4851 is a critical deserialization vulnerability affecting CASIANO's GRID::Machine Perl module versions up to 0.127. GRID::Machine facilitates Remote Procedure Calls (RPC) over SSH, allowing a client to execute Perl code on remote hosts. The vulnerability stems from the read_operation() function in lib/GRID/Machine/Message.pm, which deserializes remote data using Perl's eval() function without proper validation or sanitization. Specifically, the function concatenates raw bytes received from the remote host into a string and evaluates it with 'no strict' mode, trusting the remote data implicitly. This unsafe deserialization allows a malicious or compromised remote host to embed arbitrary Perl code within the Dumper-formatted response, such as system calls, which execute on the client side silently during every RPC call. Because the return values remain valid, the malicious code execution is stealthy and difficult to detect. The vulnerability arises from a design choice that assumes the remote host is fully trusted, but this trust assumption is undocumented, increasing the risk of exploitation. Although no public exploits are known, the vulnerability enables remote code execution (RCE) on the client, compromising confidentiality, integrity, and availability. The lack of a patch or mitigation guidance in the provided information highlights the need for immediate attention by users of GRID::Machine. This vulnerability is classified under CWE-502 (Deserialization of Untrusted Data) and CWE-95 (Improper Neutralization of Directives in Dynamically Evaluated Code).
Potential Impact
The impact of CVE-2026-4851 is significant for organizations using GRID::Machine to perform remote Perl code execution over SSH. A compromised or malicious remote host can leverage this vulnerability to execute arbitrary code on the client machine, potentially leading to full system compromise. This can result in data theft, unauthorized access, lateral movement within networks, and disruption of services. Since the malicious code executes silently and returns valid responses, detection is challenging, increasing the risk of prolonged undetected attacks. Organizations relying on GRID::Machine in sensitive environments or with untrusted remote hosts face elevated risks. The vulnerability undermines the confidentiality, integrity, and availability of client systems and can be exploited remotely without user interaction once a connection to a malicious host is established. This threat is particularly critical in environments where GRID::Machine is used for automation, orchestration, or remote management, as attackers can gain persistent footholds and execute arbitrary commands with the privileges of the client process.
Mitigation Recommendations
To mitigate CVE-2026-4851, organizations should first avoid connecting to untrusted or potentially compromised remote hosts using GRID::Machine. Implement strict access controls and network segmentation to limit exposure to untrusted endpoints. Since the vulnerability arises from unsafe deserialization using eval(), users should consider patching or modifying the GRID::Machine source code to replace eval-based deserialization with a safe parser that does not execute arbitrary code, such as using a secure serialization format or a vetted deserialization library. If patching is not immediately possible, run GRID::Machine clients with least privilege, ideally in isolated or sandboxed environments to contain potential exploitation. Monitor RPC communication for anomalous or unexpected payloads and employ host-based intrusion detection systems to detect suspicious Perl code execution. Additionally, document and enforce the trust boundary explicitly in operational procedures, ensuring only fully trusted hosts are connected. Engage with the vendor or community for updates or patches addressing this vulnerability. Finally, consider alternative remote execution tools that do not rely on unsafe deserialization.
Affected Countries
United States, Germany, United Kingdom, France, Japan, Canada, Australia, Netherlands, India, South Korea
CVE-2026-4851: CWE-502 Deserialization of Untrusted Data in CASIANO GRID::Machine
Description
CVE-2026-4851 is a deserialization vulnerability in CASIANO GRID::Machine versions through 0. 127 for Perl that allows arbitrary code execution on the client. The vulnerability arises because the client deserializes data from remote hosts using Perl's eval() on untrusted input, enabling a compromised remote host to execute malicious Perl code silently during RPC calls. This unsafe deserialization occurs in the read_operation() function, which processes Dumper-formatted responses from remote hosts. The vulnerability is by design but lacks documentation warning users about the trust requirement for remote hosts. Exploitation requires a malicious or compromised remote host in the RPC communication chain. No CVSS score is assigned yet, and no known exploits are reported in the wild. Organizations using GRID::Machine for remote Perl code execution over SSH are at risk if they connect to untrusted or compromised hosts.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-4851 is a critical deserialization vulnerability affecting CASIANO's GRID::Machine Perl module versions up to 0.127. GRID::Machine facilitates Remote Procedure Calls (RPC) over SSH, allowing a client to execute Perl code on remote hosts. The vulnerability stems from the read_operation() function in lib/GRID/Machine/Message.pm, which deserializes remote data using Perl's eval() function without proper validation or sanitization. Specifically, the function concatenates raw bytes received from the remote host into a string and evaluates it with 'no strict' mode, trusting the remote data implicitly. This unsafe deserialization allows a malicious or compromised remote host to embed arbitrary Perl code within the Dumper-formatted response, such as system calls, which execute on the client side silently during every RPC call. Because the return values remain valid, the malicious code execution is stealthy and difficult to detect. The vulnerability arises from a design choice that assumes the remote host is fully trusted, but this trust assumption is undocumented, increasing the risk of exploitation. Although no public exploits are known, the vulnerability enables remote code execution (RCE) on the client, compromising confidentiality, integrity, and availability. The lack of a patch or mitigation guidance in the provided information highlights the need for immediate attention by users of GRID::Machine. This vulnerability is classified under CWE-502 (Deserialization of Untrusted Data) and CWE-95 (Improper Neutralization of Directives in Dynamically Evaluated Code).
Potential Impact
The impact of CVE-2026-4851 is significant for organizations using GRID::Machine to perform remote Perl code execution over SSH. A compromised or malicious remote host can leverage this vulnerability to execute arbitrary code on the client machine, potentially leading to full system compromise. This can result in data theft, unauthorized access, lateral movement within networks, and disruption of services. Since the malicious code executes silently and returns valid responses, detection is challenging, increasing the risk of prolonged undetected attacks. Organizations relying on GRID::Machine in sensitive environments or with untrusted remote hosts face elevated risks. The vulnerability undermines the confidentiality, integrity, and availability of client systems and can be exploited remotely without user interaction once a connection to a malicious host is established. This threat is particularly critical in environments where GRID::Machine is used for automation, orchestration, or remote management, as attackers can gain persistent footholds and execute arbitrary commands with the privileges of the client process.
Mitigation Recommendations
To mitigate CVE-2026-4851, organizations should first avoid connecting to untrusted or potentially compromised remote hosts using GRID::Machine. Implement strict access controls and network segmentation to limit exposure to untrusted endpoints. Since the vulnerability arises from unsafe deserialization using eval(), users should consider patching or modifying the GRID::Machine source code to replace eval-based deserialization with a safe parser that does not execute arbitrary code, such as using a secure serialization format or a vetted deserialization library. If patching is not immediately possible, run GRID::Machine clients with least privilege, ideally in isolated or sandboxed environments to contain potential exploitation. Monitor RPC communication for anomalous or unexpected payloads and employ host-based intrusion detection systems to detect suspicious Perl code execution. Additionally, document and enforce the trust boundary explicitly in operational procedures, ensuring only fully trusted hosts are connected. Engage with the vendor or community for updates or patches addressing this vulnerability. Finally, consider alternative remote execution tools that do not rely on unsafe deserialization.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- CPANSec
- Date Reserved
- 2026-03-25T14:56:47.454Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69c879aa919ccadcdf6dd163
Added to database: 3/29/2026, 1:00:26 AM
Last enriched: 3/29/2026, 1:15:38 AM
Last updated: 3/29/2026, 3:15:00 AM
Views: 9
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