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CVE-2023-36053: In Django 3.2 before 3.2.20, 4 before 4.1.10, and 4.2 before 4.2.3, EmailValidator and URLValidator are sub...

In Django 3.2 before 3.2.20, 4 before 4.1.10, and 4.2 before 4.2.3, EmailValidator and URLValidator are subject to a potential ReDoS (regular expression denial of service) attack via a very large number of domain name labels of emails and URLs.

HighCVSS 7.5Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

This issue can let an unauthenticated remote user make vulnerable Django applications spend excessive CPU validating crafted email or URL input. The business impact is service disruption, not data theft or code execution, based on the provided CVSS and description.

Executive priority

Treat this as a high-priority availability fix for public Django services. It is not described as data compromise or remote code execution, but unauthenticated denial of service can still affect revenue, customer access, and operational confidence.

Technical view

Django EmailValidator and URLValidator in 3.2 before 3.2.20, 4.0/4.1 before 4.1.10, and 4.2 before 4.2.3 are vulnerable to ReDoS involving excessive domain name labels. CVSS 3.1 is 7.5: network reachable, low complexity, no privileges, availability impact only.

Likely exposure

Exposure is most likely in Django applications on affected versions that validate untrusted email or URL fields through Django’s built-in validators, especially public forms and APIs. The source bundle does not identify specific downstream products beyond Django and distro package advisories.

Exploitation context

The bundle does not show CISA KEV listing or cited evidence of active exploitation. The vulnerability is remotely reachable without authentication when affected validation paths process attacker-controlled inputs, but the documented impact is denial of service through regex performance degradation.

Researcher notes

This is CWE-1333 ReDoS in Django validators. Validate by version and code-path exposure rather than exploit testing. Evidence is strong for affected and fixed Django versions, but the bundle does not provide active exploitation data or product-specific exposure beyond Django packages.

Mitigation direction

  • Upgrade Django to 3.2.20, 4.1.10, 4.2.3, or later supported releases.
  • Apply Debian or Fedora python-django security updates where Django is installed from distribution packages.
  • Prioritize internet-facing forms and APIs that accept email or URL values.
  • Check Django and operating-system vendor advisories for any environment-specific guidance.

Validation and detection

  • Inventory Django versions in dependency manifests, lockfiles, containers, and running environments.
  • Confirm production uses fixed Django versions or patched distribution packages.
  • Map public routes that validate user-supplied email or URL fields.
  • Review availability metrics for abnormal latency or errors on validation-heavy endpoints.
Prepared
Confidence
high
Sources
8

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.

ATT&CK lookup starting points

Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.

cwe · low confidence lookup

CWE-1333: Exact CWE lookup

Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.

Open ATT&CK lookup
cve · low confidence lookup

CVE-2023-36053 mapping review

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Open ATT&CK lookup
Vulnerability profileCVE Program record
Severity
High
CVSS
7.5 (3.1)
Known Exploited
No
Published

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

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

1CVSS vectors
0Timeline events
0ADP providers
10Source links

CVSS vector scores

1 official score

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
7.5CVSS 3.1HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H3.93.6Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

7.5High
CVSS 3.1 vector shape for CVE-2023-36053Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

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

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone
Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
n/an/an/aListed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-1333 · source CWE mapping

Inefficient Regular Expression Complexity

Inefficient Regular Expression Complexity represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.