CVE-2025-8667VulnerabilityPublished 6 Aug 2025

CVE-2025-8667: SkyworkAI DeepResearchAgent · OS Command Injection

Affects SkyworkAI DeepResearchAgentSource CVE Database V5

Not known to be exploited · CVSS 5.3 Medium.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 4.0 base score

5.3Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 1.7% chance of exploitation in 30 days – higher than 77% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P

Base metrics

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: Low
User Interaction: None
Vulnerable system confidentiality: Low
Vulnerable system integrity: Low
Vulnerable system availability: Low
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Threat metrics

Exploit Maturity: POC

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: Low: The attacker requires privileges that provide basic capabilities that are typically limited to settings and resources owned by a single low-privileged user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the Vulnerable System.
Vulnerable system integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact to the Vulnerable System.
Vulnerable system availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the Vulnerable System are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.
Exploit Maturity: POC: Based on threat intelligence sources each of the following must apply: · Proof-of-concept is publicly available · No knowledge of reported attempts to exploit this vulnerability · No knowledge of publicly available solutions used to simplify attempts to exploit the vulnerability

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 6 Aug 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

AI-suggested

Given the absence of official patches, European organizations should implement immediate compensating controls. First, restrict network access to the DeepResearchAgent service using firewalls or network segmentation to limit exposure to trusted hosts only. Employ strict input validation and sanitization at the application layer if possible, especially for any user-supplied data processed by the affected functions. Monitor system and application logs for unusual command execution patterns or anomalies indicative of exploitation attempts. Deploy host-based intrusion detection systems (HIDS) to detect suspicious OS command executions. Consider running the DeepResearchAgent in a sandboxed or containerized environment with minimal privileges to limit the impact of potential command injection. Regularly audit and update access controls to ensure only authorized personnel can interact with the service. Engage in active threat intelligence sharing within European cybersecurity communities to stay informed about emerging exploits. Finally, maintain readiness to apply vendor patches promptly once available and consider alternative tools if the risk is deemed unacceptable.

Description

A vulnerability, which was classified as critical, was found in SkyworkAI DeepResearchAgent up to 08eb7f8eb9505d0094d75bb97ff7dacc3fa3bbf2. Affected is the function from_code/from_dict/from_mcp of the file src/tools/tools.py. The manipulation leads to os command injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. The vendor was contacted early about this disclosure but did not respond in any way.

Impact

For European organizations using SkyworkAI DeepResearchAgent, this vulnerability poses a significant risk. Successful exploitation could allow remote attackers to execute arbitrary OS commands, potentially leading to unauthorized data access, system compromise, lateral movement within networks, or disruption of services. Given the medium CVSS score and the low impact ratings, the immediate damage might be limited but still serious, especially in environments where the DeepResearchAgent is integrated with sensitive research data or critical infrastructure. The absence of authentication requirements and user interaction lowers the barrier for attackers, increasing the likelihood of exploitation in automated attacks. European entities involved in AI research, data analytics, or sectors relying on SkyworkAI’s tools could face confidentiality breaches or operational disruptions. Additionally, the lack of vendor patches means organizations must rely on internal mitigations, increasing operational overhead and risk. The continuous delivery model may also cause inconsistent patch levels across deployments, complicating vulnerability management. Overall, the vulnerability could undermine trust in AI research tools and expose sensitive intellectual property or personal data processed by the affected software.

References

Community reviews

Loading reviews…