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CVE Record

CVE-2023-23969: In Django 3.2 before 3.2.17, 4.0 before 4.0.9, and 4.1 before 4.1.6, the parsed values of Accept-Language h...

In Django 3.2 before 3.2.17, 4.0 before 4.0.9, and 4.1 before 4.1.6, the parsed values of Accept-Language headers are cached in order to avoid repetitive parsing. This leads to a potential denial-of-service vector via excessive memory usage if the raw value of Accept-Language headers is very large.

HighCVSS 7.5Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

This Django flaw can let a remote, unauthenticated requester exhaust server memory by sending unusually large Accept-Language headers. The business impact is service outage, not data theft or tampering. Official sources identify fixed Django releases in the 3.2, 4.0, and 4.1 branches.

Executive priority

Treat as a high-priority availability issue for public Django services. It is not described as a data breach risk, but unpatched systems could be forced into outage. Patch during the next urgent maintenance window, faster for customer-facing or revenue-critical applications.

Technical view

Django cached parsed Accept-Language header values to avoid repeated parsing. When the raw header value is very large, that caching can consume excessive memory, creating a denial-of-service condition. The CVSS vector is network-accessible, low-complexity, no privileges, no user interaction, with high availability impact only.

Likely exposure

Exposure is likely for applications running Django 3.2 before 3.2.17, 4.0 before 4.0.9, or 4.1 before 4.1.6, especially internet-facing services. The bundle does not identify specific affected downstream products beyond distribution and vendor advisories.

Exploitation context

The source bundle does not show CISA KEV listing or active exploitation evidence. Risk remains material because exploitation requires only network access and crafted request headers, but the documented impact is availability loss through memory exhaustion.

Researcher notes

Key evidence comes from the CVE record and Django security release notes. Affected version ranges are explicit, but the bundle’s structured affected-product field is incomplete. No exploit proof or exploitation-in-the-wild claim is provided, so validation should focus on version exposure and patch confirmation.

Mitigation direction

  • Upgrade Django to 3.2.17, 4.0.9, 4.1.6, or later supported releases.
  • If using OS packages, apply Debian, Fedora, or vendor security updates as applicable.
  • Inventory applications and containers for bundled or transitive Django versions.
  • Check official Django and vendor advisories for any environment-specific guidance.
  • Prioritize internet-facing Django services and high-availability business systems first.

Validation and detection

  • Confirm the running Django version in each application environment.
  • Review lockfiles, container images, and OS package metadata for vulnerable versions.
  • Verify deployed artifacts use fixed Django builds, not only source branches.
  • Check vendor appliances or packaged products against their advisory status.
  • Run controlled non-production regression checks for oversized language header handling.
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-770: 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-2023-23969 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

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
8Source 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-2023-23969Attack 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-770 · source CWE mapping

Allocation of Resources Without Limits or Throttling

Allocation of Resources Without Limits or Throttling represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.