LiveActive security incident?Get immediate response
CVE Record

CVE-2026-1287: Potential SQL injection in column aliases via control characters

An issue was discovered in 6.0 before 6.0.2, 5.2 before 5.2.11, and 4.2 before 4.2.28. `FilteredRelation` is subject to SQL injection in column aliases via control characters, using a suitably crafted dictionary, with dictionary expansion, as the `**kwargs` passed to `QuerySet` methods `annotate()`, `aggregate()`, `extra()`, `values()`, `values_list()`, and `alias()`. 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 Solomon Kebede for reporting this issue.

HighCVSS 8.3Not KEV-listedUpdated
Discuss exposureBack to CVEs
Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

CVE-2026-1287 is a high-severity Django SQL injection flaw. Certain dynamic QuerySet arguments can let crafted column aliases alter database queries. This matters most for applications that build ORM query parameters from dictionaries, especially when any key names can be influenced by users or external data.

Executive priority

Treat as a prompt patching item for Django-backed systems handling sensitive data. Prioritize public applications, admin/reporting features, and services with dynamic query builders. Do not wait for exploitation evidence before upgrading supported affected versions.

Technical view

Django FilteredRelation is vulnerable to SQL injection through control characters in column aliases when crafted dictionaries are expanded into QuerySet methods including annotate(), aggregate(), extra(), values(), values_list(), and alias(). Affected supported releases are 6.0 before 6.0.2, 5.2 before 5.2.11, and 4.2 before 4.2.28.

Likely exposure

Internet-facing Django applications are exposed if they run affected versions and pass dynamic dictionaries into the named QuerySet methods. Risk is higher when alias or field names derive from request data, API parameters, reports, filters, or saved user configuration.

Exploitation context

The CVSS vector indicates network reachability, low attack complexity, low privileges, and no user interaction. The source bundle says KEV is false, and no cited source here confirms active exploitation. Earlier unsupported Django series were not evaluated and may also be affected.

Researcher notes

Focus review on crafted dictionary expansion into ORM methods, not raw SQL alone. The advisory scope is specific to column aliases and FilteredRelation. The bundle does not provide enough evidence to assess exploit availability or unsupported-series impact beyond possible exposure.

Mitigation direction

  • Upgrade Django to 6.0.2, 5.2.11, or 4.2.28 as appropriate.
  • For unsupported Django series, migrate to a supported fixed release or check vendor guidance.
  • Review downstream vendor packages and apply relevant Red Hat errata where applicable.
  • Validate or constrain dynamic alias keys before passing dictionaries into QuerySet methods.
  • Avoid deriving ORM alias names directly from request or external data.

Validation and detection

  • Inventory deployed Django versions from package locks, images, and runtime environments.
  • Search code for FilteredRelation plus dynamic **kwargs in the named QuerySet methods.
  • Review report, filter, and search features that construct ORM dictionaries dynamically.
  • Add regression tests for rejecting control characters in alias-like inputs.
  • Confirm production artifacts include the fixed Django version or downstream patched package.
Prepared
Confidence
high
Sources
7

Public sources used

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 · medium confidence lookup

CWE-89: Database access and collection lookup

Injection into data stores can inform collection, data access, and exfiltration detection reviews. 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
description · low confidence lookup

Database behavior lookup

The CVE wording references database injection or access, so collection and exfiltration review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.

Open ATT&CK lookup
cve · low confidence lookup

CVE-2026-1287 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
8.3 (3.1)
Known Exploited
No
Published

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

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.

2CVSS vectors
8Timeline events
2ADP providers
16Source links

SSVC decision data

CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: noneAutomatable: noTechnical Impact: partial

CVSS vector scores

2 official scores

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
8.3CVSS 3.1HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L2.85.5redhat-SADP
5.4CVSS 3.1MediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N2.82.5CISA-ADP

Vulnerability scoring details

Base CVSS 3.1 score

8.3High
CVSS 3.1 vector shape for CVE-2026-1287Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

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

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

Vulnerability timeline

Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.

  1. Source timelineDSF

    Initial report received.

  2. CVE reservedCVE Program

    The CVE ID was reserved by the assigning CNA.

  3. Source timelineDSF

    Vulnerability confirmed.

  4. Source timelineDSF

    Security release issued.

  5. ADP timelineredhat-SADP

    Made public.

  6. CVE publishedCVE Program

    The CVE record was published.

  7. ADP timelineredhat-SADP

    Reported to Red Hat.

  8. CVE updatedCVE Program

    The CVE record metadata indicates this as the latest update time.

ADP provider summaries

CISA-ADPCISA ADP Vulnrichment
cvssV3_1other:ssvc
redhat-SADPDjango: Django: SQL Injection via crafted column aliases
other:Red Hat severity ratingcvssV3_1
  • 2026-02-03T15:01:03.441Z: Reported to Red Hat.
  • 2026-02-03T14:36:03.630Z: Made public.

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
djangoprojectDjangodjango, 6.0, 6.0.2, 5.2, 5.2.11, 4.2, 4.2.28unaffected
Weakness

CWE details

CWE-89

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

CWE-89 · source CWE mapping

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.

Open CWE intelligenceSame-CWE CVEs