VulnerabilityPublished 22 Jun 2025Updated 23 Jun 2025

CVE-2025-6466: ageerle ruoyi-ai · Unrestricted Upload

Affects ageerle ruoyi-aiSource CVE Database V5

Public exploit available · CVSS 5.3 Medium · fixed in 2.0.1 : patch ageerle ruoyi-ai as a priority.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 4.0 base score

5.3Medium

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

EPSS: 0.3% chance of exploitation in 30 days – higher than 32% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch: Available – fixed in 2.0.1

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 22 Jun 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: evidence found.
CVSS exploit maturity: proof of concept public
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), CVSS vector, the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

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 or the CVSS exploit maturity 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

Affected software

Product	Affected	Fixed in
GitHubageerle/ruoyi-ai`pkg:github/ageerle/ruoyi-ai`Other threats	Affected =2.0.0	Fixed in–

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AI-suggested

Immediate upgrade of ruoyi-ai from version 2.0.0 to 2.0.1 or later, which contains the official patch addressing the unrestricted upload vulnerability.
Implement strict input validation and file type restrictions at the application and web server levels to prevent unauthorized file types from being uploaded.
Employ web application firewalls (WAFs) with custom rules to detect and block suspicious upload attempts targeting the vulnerable endpoint.
Monitor logs for unusual file upload activity, especially targeting the speechToTextTranscriptionsV2/upload function, and establish alerting mechanisms for anomalous behavior.
Restrict network access to the vulnerable service to trusted IP ranges where feasible, reducing exposure to remote attackers.
Conduct regular security assessments and penetration testing focused on file upload functionalities to detect similar weaknesses.
Harden the hosting environment by enforcing least privilege principles, ensuring that even if malicious files are uploaded, their execution or impact is limited.
Educate development teams on secure coding practices related to file uploads to prevent recurrence.

Description

A vulnerability was found in ageerle ruoyi-ai 2.0.0 and classified as critical. Affected by this issue is the function speechToTextTranscriptionsV2/upload of the file ruoyi-modules/ruoyi-system/src/main/java/org/ruoyi/system/service/impl/SseServiceImpl.java. The manipulation of the argument File leads to unrestricted upload. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 2.0.1 is able to address this issue. The patch is identified as 4e93ac86d4891c59ecfcd27c051de9b3c5379315. It is recommended to upgrade the affected component.

Impact

For European organizations using ruoyi-ai version 2.0.0, this vulnerability poses a tangible risk of unauthorized file uploads that could lead to system compromise. The ability to upload arbitrary files remotely without user interaction or elevated privileges means attackers could deploy web shells or malware, potentially leading to data breaches, unauthorized access, or disruption of services. Organizations in sectors with high reliance on ruoyi-ai for speech-to-text transcription services may face operational interruptions or reputational damage if exploited. Additionally, if the uploaded files are used to pivot within the network, the impact could extend beyond the initial system. Given the medium CVSS score and the lack of known exploits in the wild, the immediate risk is moderate but could escalate if exploit code becomes widespread. European entities handling sensitive or regulated data should be particularly cautious, as exploitation could lead to violations of data protection regulations such as GDPR.

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 22 Jun 2025, 05:19 UTC

Technical details

References

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