CVE-2025-62703: CWE-502: Deserialization of Untrusted Data in fugue-project fugue
Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites. In version 0.9.2 and prior, there is a remote code execution vulnerability by pickle deserialization via FlaskRPCServer. The Fugue framework implements an RPC server system for distributed computing operations. In the core functionality of the RPC server implementation, I found that the _decode() function in fugue/rpc/flask.py directly uses cloudpickle.loads() to deserialize data without any sanitization. This creates a remote code execution vulnerability when malicious pickle data is processed by the RPC server. The vulnerability exists in the RPC communication mechanism where the client can send arbitrary serialized Python objects that will be deserialized on the server side, allowing attackers to execute arbitrary code on the victim's machine. This issue has been patched via commit 6f25326.
AI Analysis
Technical Summary
CVE-2025-62703 is a critical remote code execution vulnerability identified in the Fugue framework, a unified interface for distributed computing that supports execution of Python, Pandas, and SQL code on platforms such as Spark, Dask, and Ray. The vulnerability arises from the unsafe deserialization of untrusted data in the FlaskRPCServer component of Fugue versions 0.9.2 and earlier. Specifically, the _decode() function in fugue/rpc/flask.py uses cloudpickle.loads() to deserialize incoming data without any sanitization or validation. Since cloudpickle can deserialize arbitrary Python objects, an attacker can craft malicious serialized payloads that, when processed by the RPC server, execute arbitrary code on the victim machine. This flaw is rooted in CWE-502 (Deserialization of Untrusted Data), a common and dangerous security weakness. The RPC server accepts serialized data over the network, and because no authentication or user interaction is required, the attack surface is broad for any exposed Fugue RPC endpoints. The vulnerability has been patched in subsequent Fugue releases via commit 6f25326, which presumably adds validation or replaces unsafe deserialization methods. Although no known exploits are currently reported in the wild, the high CVSS score of 8.8 (AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) indicates that the vulnerability is remotely exploitable with low complexity and can lead to full compromise of affected systems. Organizations leveraging Fugue for distributed data processing and analytics should consider this a critical risk, especially in multi-tenant or cloud environments where RPC servers may be exposed to untrusted clients.
Potential Impact
The impact of CVE-2025-62703 on European organizations can be severe, particularly for those relying on Fugue in distributed computing environments for data analytics, financial modeling, scientific research, or cloud-based services. Successful exploitation allows attackers to execute arbitrary code remotely on the server hosting the Fugue RPC service, potentially leading to full system compromise. This can result in data theft, manipulation, service disruption, or use of compromised systems as a foothold for lateral movement within enterprise networks. Confidentiality, integrity, and availability of critical data and services are all at high risk. Given the increasing adoption of distributed computing frameworks in Europe’s technology, finance, and research sectors, this vulnerability could disrupt business operations and damage reputations. Additionally, attackers could leverage compromised systems to launch further attacks or deploy ransomware. The lack of required authentication and user interaction increases the likelihood of exploitation if RPC endpoints are exposed. Organizations operating in regulated sectors such as finance, healthcare, and critical infrastructure may face compliance and legal consequences if this vulnerability is exploited.
Mitigation Recommendations
To mitigate CVE-2025-62703, European organizations should immediately upgrade Fugue to a version later than 0.9.2 where the vulnerability is patched. If upgrading is not immediately feasible, organizations should restrict network access to the Fugue RPC server by implementing strict firewall rules and network segmentation to limit exposure to trusted internal clients only. Employing VPNs or zero-trust network architectures can further reduce attack surfaces. Monitoring and logging RPC server activity for unusual or unexpected serialized payloads can help detect exploitation attempts. Security teams should audit their distributed computing environments to identify any Fugue deployments and verify patch levels. Additionally, consider disabling or restricting RPC server functionality if not required. Educate developers and administrators about the risks of unsafe deserialization and promote secure coding practices, such as avoiding deserialization of untrusted data or using safer serialization formats. Regular vulnerability scanning and penetration testing targeting RPC interfaces can help identify residual risks. Finally, maintain incident response plans to quickly contain and remediate any compromise stemming from this vulnerability.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland, Belgium
CVE-2025-62703: CWE-502: Deserialization of Untrusted Data in fugue-project fugue
Description
Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites. In version 0.9.2 and prior, there is a remote code execution vulnerability by pickle deserialization via FlaskRPCServer. The Fugue framework implements an RPC server system for distributed computing operations. In the core functionality of the RPC server implementation, I found that the _decode() function in fugue/rpc/flask.py directly uses cloudpickle.loads() to deserialize data without any sanitization. This creates a remote code execution vulnerability when malicious pickle data is processed by the RPC server. The vulnerability exists in the RPC communication mechanism where the client can send arbitrary serialized Python objects that will be deserialized on the server side, allowing attackers to execute arbitrary code on the victim's machine. This issue has been patched via commit 6f25326.
AI-Powered Analysis
Technical Analysis
CVE-2025-62703 is a critical remote code execution vulnerability identified in the Fugue framework, a unified interface for distributed computing that supports execution of Python, Pandas, and SQL code on platforms such as Spark, Dask, and Ray. The vulnerability arises from the unsafe deserialization of untrusted data in the FlaskRPCServer component of Fugue versions 0.9.2 and earlier. Specifically, the _decode() function in fugue/rpc/flask.py uses cloudpickle.loads() to deserialize incoming data without any sanitization or validation. Since cloudpickle can deserialize arbitrary Python objects, an attacker can craft malicious serialized payloads that, when processed by the RPC server, execute arbitrary code on the victim machine. This flaw is rooted in CWE-502 (Deserialization of Untrusted Data), a common and dangerous security weakness. The RPC server accepts serialized data over the network, and because no authentication or user interaction is required, the attack surface is broad for any exposed Fugue RPC endpoints. The vulnerability has been patched in subsequent Fugue releases via commit 6f25326, which presumably adds validation or replaces unsafe deserialization methods. Although no known exploits are currently reported in the wild, the high CVSS score of 8.8 (AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) indicates that the vulnerability is remotely exploitable with low complexity and can lead to full compromise of affected systems. Organizations leveraging Fugue for distributed data processing and analytics should consider this a critical risk, especially in multi-tenant or cloud environments where RPC servers may be exposed to untrusted clients.
Potential Impact
The impact of CVE-2025-62703 on European organizations can be severe, particularly for those relying on Fugue in distributed computing environments for data analytics, financial modeling, scientific research, or cloud-based services. Successful exploitation allows attackers to execute arbitrary code remotely on the server hosting the Fugue RPC service, potentially leading to full system compromise. This can result in data theft, manipulation, service disruption, or use of compromised systems as a foothold for lateral movement within enterprise networks. Confidentiality, integrity, and availability of critical data and services are all at high risk. Given the increasing adoption of distributed computing frameworks in Europe’s technology, finance, and research sectors, this vulnerability could disrupt business operations and damage reputations. Additionally, attackers could leverage compromised systems to launch further attacks or deploy ransomware. The lack of required authentication and user interaction increases the likelihood of exploitation if RPC endpoints are exposed. Organizations operating in regulated sectors such as finance, healthcare, and critical infrastructure may face compliance and legal consequences if this vulnerability is exploited.
Mitigation Recommendations
To mitigate CVE-2025-62703, European organizations should immediately upgrade Fugue to a version later than 0.9.2 where the vulnerability is patched. If upgrading is not immediately feasible, organizations should restrict network access to the Fugue RPC server by implementing strict firewall rules and network segmentation to limit exposure to trusted internal clients only. Employing VPNs or zero-trust network architectures can further reduce attack surfaces. Monitoring and logging RPC server activity for unusual or unexpected serialized payloads can help detect exploitation attempts. Security teams should audit their distributed computing environments to identify any Fugue deployments and verify patch levels. Additionally, consider disabling or restricting RPC server functionality if not required. Educate developers and administrators about the risks of unsafe deserialization and promote secure coding practices, such as avoiding deserialization of untrusted data or using safer serialization formats. Regular vulnerability scanning and penetration testing targeting RPC interfaces can help identify residual risks. Finally, maintain incident response plans to quickly contain and remediate any compromise stemming from this vulnerability.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2025-10-20T19:41:22.736Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 692621d54ed5c2dbbb064b42
Added to database: 11/25/2025, 9:38:29 PM
Last enriched: 12/2/2025, 9:40:00 PM
Last updated: 1/10/2026, 10:15:03 PM
Views: 120
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