CVE-2025-71006VulnerabilityPublished 28 Jan 2026Updated 29 Jan 2026

CVE-2025-71006: oneflow · n/a

Affects oneflowSource CVE Database V5

Not known to be exploited · CVSS 6.5 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score

6.5Medium

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

EPSS: 0.3% chance of exploitation in 30 days – higher than 24% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: Required
Scope: Unchanged
Confidentiality: None
Integrity: None
Availability: High

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

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, 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: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.
User Interaction: Required: Successful exploitation of this vulnerability requires a user to take some action before the vulnerability can be exploited.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: None: There is no loss of confidentiality within the impacted component.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: High: There is total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 28 Jan 2026
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 2026-10-26.

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

Affected software

Product	Affected	Fixed in
GitHuboneflow-inc/oneflow`pkg:github/oneflow-inc/oneflow`Other threats	Affected =0.9.0	Fixed in–

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AI-suggested

European organizations should implement strict input validation and sanitization on all data fed into OneFlow components, especially the reshape function, to prevent malformed inputs from triggering floating point exceptions. Monitoring and anomaly detection systems should be enhanced to identify unusual crashes or service interruptions related to AI workloads. Until an official patch is released, consider isolating OneFlow services in controlled environments with limited exposure to untrusted inputs. Employ rate limiting and access controls to reduce the risk of automated or repeated exploit attempts. Engage with OneFlow maintainers or community to track patch availability and apply updates promptly once released. Additionally, develop fallback mechanisms or redundancy in AI processing pipelines to maintain availability during potential DoS incidents. Document and rehearse incident response plans specific to AI service disruptions.

Description

CVE-2025-71006 is a medium-severity vulnerability in the oneflow.reshape component of OneFlow v0.9.0 that allows attackers to cause a Denial of Service (DoS) via a crafted input triggering a floating point exception. The flaw does not impact confidentiality or integrity but can disrupt availability by crashing the affected system. Exploitation requires no privileges but does require user interaction to supply the malicious input. No known exploits are currently reported in the wild. European organizations using OneFlow for machine learning or data processing could face service interruptions if targeted. Mitigation involves input validation and patching when available. Countries with significant AI and machine learning adoption, such as Germany, France, and the UK, are more likely to be affected.

Impact

For European organizations, the primary impact of CVE-2025-71006 is the potential for Denial of Service attacks that disrupt machine learning workloads or data processing pipelines relying on OneFlow v0.9.0. This could lead to downtime of AI-driven applications, delays in data analysis, and interruption of automated decision-making processes. Sectors such as finance, healthcare, manufacturing, and research institutions that increasingly depend on AI frameworks may experience operational degradation. Although the vulnerability does not compromise data confidentiality or integrity, the availability impact could affect business continuity and service reliability. Organizations with automated or real-time AI systems may face cascading effects if the DoS causes failures in critical infrastructure or dependent services. The lack of known exploits reduces immediate risk, but the ease of triggering the flaw via crafted input means attackers could weaponize it once details become widespread.

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 5 Feb 2026, 08:48 UTC

WeaknessesCWE-369

Technical details

References

Community reviews

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