CVE-2025-46686VulnerabilityPublished 23 Jul 2025

CVE-2025-46686: redis · n/a

Affects redisSource CVE Database V5

Not known to be exploited · CVSS 4.9 Medium.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score

4.9Medium

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:H/UI:N/S:U/C:N/I:N/A:H

Attack Vector: Network
Attack Complexity: Low
Privileges Required: High
User Interaction: None
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: High: The attacker is authorized with (i.e., requires) privileges that provide significant (e.g., administrative) control over the vulnerable component that could affect component-wide settings and files.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
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 23 Jul 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

Affected software

Product	Affected	Fixed in
GitHubredis/redis`pkg:github/redis/redis`Other threats	Affected <=7.4.3	Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

1. Restrict Redis access strictly to trusted and authenticated users, employing strong authentication mechanisms such as ACLs (Access Control Lists) and robust password policies. 2. Implement network-level controls to limit Redis access to known IP addresses and internal networks only, using firewalls and VPNs. 3. Monitor Redis server memory usage and set up alerts for unusual spikes that could indicate exploitation attempts. 4. Apply rate limiting or command filtering where possible to prevent abuse of multi-bulk commands. 5. Regularly update Redis to the latest versions once patches addressing this vulnerability become available. 6. Conduct periodic audits of Redis configurations to ensure no anonymous or weakly authenticated access is permitted. 7. Consider deploying Redis in isolated environments or containers to limit the blast radius of potential attacks. 8. Educate administrators and developers about the risks of this vulnerability and the importance of secure Redis deployment practices.

Description

Redis through 7.4.3 allows memory consumption via a multi-bulk command composed of many bulks, sent by an authenticated user. This occurs because the server allocates memory for the command arguments of every bulk, even when the command is skipped because of insufficient permissions.

Impact

For European organizations, this vulnerability poses a significant risk primarily in terms of availability. Redis is widely used across Europe in various sectors including finance, telecommunications, e-commerce, and public services for caching, session management, and real-time data processing. An attacker exploiting this vulnerability could cause Redis servers to consume excessive memory, leading to service degradation or outages. This can disrupt critical business operations, especially in sectors relying on high availability and low latency. Furthermore, organizations with multi-tenant Redis deployments or those exposing Redis instances to internal networks with weak access controls are at higher risk. The requirement for authentication limits the attack surface but does not eliminate it, as insider threats or compromised credentials could facilitate exploitation. The vulnerability does not directly impact confidentiality or integrity but can indirectly affect these by causing system instability or forcing emergency maintenance. Given the strategic importance of Redis in cloud and on-premises infrastructures, the impact on European organizations could be substantial if exploited at scale.

CWE-789Memory Allocation with Excessive Size Value (opens in a new tab)
Variant weakness
The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated.
Implementation · Architecture and Design
Perform adequate input validation against any value that influences the amount of memory that is allocated. Define an appropriate strategy for handling requests that exceed the limit, and consider supporting a configuration option so that the administrator can extend the amount of memory to be used if necessary.
Operation
Run your program using system-provided resource limits for memory. This might still cause the program to crash or exit, but the impact to the rest of the system will be minimized.
OWASP Cheat Sheets
Abuse Case (opens in a new tab)
OWASP ASVS 4.0.3
V8.1.4 (opens in a new tab)
V13.4.1 (opens in a new tab)
V11.1.4 (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

Community reviews

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 23 Jul 2025, 18:48 UTC

WeaknessesCWE-789

Technical details

References

Community reviews

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