CVE-2025-13473VulnerabilityPublished 3 Feb 2026

CVE-2025-13473: djangoproject Django · Timing Side Channel

Affects djangoproject DjangoSource CVE Database V5

Not known to be exploited · CVSS 5.3 Medium · fixed in 6.0.2 : update djangoproject Django when convenient.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score

5.3Medium

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

EPSS: 0.8% chance of exploitation in 30 days – higher than 56% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch: Available – fixed in 6.0.2, 5.2.11, 4.2.28

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

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

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: High: A successful attack depends on conditions beyond the attacker's control. That is, a successful attack cannot be accomplished at will, but requires the attacker to invest in some measurable amount of effort in preparation or execution against the vulnerable component before a successful attack can be expected. For example, a successful attack may require an attacker to: gather knowledge about the environment in which the vulnerable target/component exists; prepare the target environment to improve exploit reliability; or inject themselves into the logical network path between the target and the resource requested by the victim in order to read and/or modify network communications (e.g., a man in the middle attack).
Privileges Required: Low: The attacker is authorized with (i.e., requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.
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: High: There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 3 Feb 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 2026-10-25.

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

Upgrade Django and django to 6.0.2, 5.2.11 or 4.2.28.

Affected software

Product	Affected	Fixed in
djangoprojectDjango	Affected >=6.0 <6.0.2 >=5.2 <5.2.11 >=4.2 <4.2.28	Fixed in 6.0.2 5.2.11 4.2.28
PyPIdjango`pkg:pypi/django`Other threats	Affected =4.2 =5.2 =6.0	Fixed in–
PyPIdjango`pkg:pypi/django`Other threats	Affected >=6.0 <6.0.2 >=5.2 <5.2.11 >=4.2 <4.2.28	Fixed in 6.0.2 5.2.11 4.2.28

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

AI-suggested

To mitigate CVE-2025-13473, organizations should promptly upgrade Django to versions 6.0.2 or later, 5.2.11 or later, and 4.2.28 or later, where the vulnerability has been patched. If immediate upgrading is not feasible, implementing additional rate limiting on authentication endpoints can reduce the feasibility of timing attacks by limiting the number of authentication attempts from a single source. Employing consistent response times for authentication failures can help obscure timing discrepancies, though this may require custom middleware or patches. Monitoring authentication logs for unusual patterns of failed login attempts or username enumeration attempts is critical for early detection. Additionally, consider deploying Web Application Firewalls (WAFs) configured to detect and block suspicious timing attack patterns. Educating developers to avoid leaking timing information in authentication flows and reviewing custom authentication handlers for similar issues is recommended. Finally, ensure that multi-factor authentication (MFA) is enabled to reduce the impact of compromised credentials obtained through enumeration and brute force.

Description

An issue was discovered in 6.0 before 6.0.2, 5.2 before 5.2.11, and 4.2 before 4.2.28. The `django.contrib.auth.handlers.modwsgi.check_password()` function for authentication via `mod_wsgi` allows remote attackers to enumerate users via a timing attack. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Stackered for reporting this issue.

Impact

The primary impact of CVE-2025-13473 is the disclosure of valid usernames through timing side-channel attacks during authentication attempts. This user enumeration can significantly aid attackers by reducing the attack surface for password guessing, credential stuffing, or phishing campaigns. While the vulnerability does not directly compromise password integrity or system availability, the confidentiality breach of user identity information can lead to targeted attacks against organizations. For web applications relying on Django with mod_wsgi, especially those exposing authentication endpoints publicly, this vulnerability increases the risk of account compromise and subsequent data breaches. Organizations with large user bases or sensitive data are particularly vulnerable to the cascading effects of user enumeration. Additionally, attackers can use this information to evade detection by focusing on valid accounts, complicating incident response. The lack of required user interaction and the ability to exploit remotely over the network further elevate the threat level. Although no active exploits are reported, the widespread use of Django in web development globally means the potential impact is broad and significant.

CWE-208Observable Timing Discrepancy (opens in a new tab)
Base weakness
Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not.
OWASP Cheat Sheets
Error Handling (opens in a new tab)
Logging (opens in a new tab)
OWASP ASVS 4.0.3
V8.3.4 (opens in a new tab)
V14.3.3 (opens in a new tab)
V7.3.3 (opens in a new tab)
Attack patterns
Cross-Domain Search Timing (opens in a new tab)
Application Fingerprinting (opens in a new tab)
System Footprinting (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 27 Feb 2026, 09:53 UTC

WeaknessesCWE-208

Technical details

References

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