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datamodel-code-generator CVE-2026-55403

| EUVDEUVD-2026-50070 LOW
Information Exposure (CWE-200)
2026-07-28 GitHub_M GHSA-r5vv-ff45-prp2
3.7
CVSS 3.1 · Vendor: GitHub_M
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Supply credentials via CLI options
  2. Delivery
    Fetch schema from remote host
  3. Exploit
    Host responds with cross-origin redirect
  4. Execution
    Tool resends credentials to redirect target
  5. Persist
    Attacker captures sensitive headers
  6. Impact
    Credential leakage to unauthorized third party.

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V14 - Data Protection Data exposure prevention
MITRE ATT&CK

2 techniques across 2 tactics: Collection, Discovery

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

The operator must specify authentication credentials via --http-headers or --url userinfo. The schema host must respond with an HTTP redirect (3xx status) to a different origin (different scheme, host, or port). An attacker could also inject such a redirect via a malicious $ref in the schema if the operator fetches a schema from an untrusted source. No authentication is required against the tool itself, but the attack complexity is high because it depends on the redirect behavior of the schema host. Authentication requirements: unauthenticated to the tool, but credentials must be supplied for the schema fetch.

Impact

CVSS 3.1 base score 3.7 (Low) with vector AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N indicates a low-risk vulnerability: network-based but requiring high attack complexity (a cross-origin redirect) and only compromising low confidentiality (credential leak). No EPSS score is available, but given the specific preconditions and limited product footprint, the exploitation probability is likely very low. The CISA KEV does not list this CVE. There is a public PoC, but active exploitation is not confirmed. The SSVC decision would likely rate this as 'Unlikely' exploitation. The CVSS score accurately reflects the limited real-world risk, as successful exploitation depends on operators using authentication headers with a schema host that performs a cross-origin redirect.

Exploit ScenarioDerived

An operator uses datamodel-code-generator with --http-headers 'Authorization: Bearer <token>' to fetch a schema from a trusted API. That API (or an attacker who can control the schema's $ref) responds with a 302 redirect to an attacker-controlled server. The tool resends the Authorization header to that server, leaking the token. A public PoC demonstrates this with two loopback servers.

Monitor Track and reassess. Why: LOW severity (CVSS 0.1-3.9).
Patch available 0.2% exploitation probability (EPSS)

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AnalysisAIv1 – Jul 29, 2026

Sensitive header disclosure in datamodel-code-generator allows Authorization, Cookie, and Proxy-Authorization headers to be leaked to cross-origin redirect targets when fetching remote schemas. Affects versions prior to 0.63.0. A public proof-of-concept exploit exists, but no active exploitation has been reported and the CVSS score is low (3.7).

RemediationAI

Upgrade to datamodel-code-generator version 0.63.0 or later, which drops Authorization, Cookie, and Proxy-Authorization headers when following cross-origin redirects. The fix is implemented in commit a585c037c8307b7aae815de193b7fe1c4c44994b. If immediate upgrade is not possible, avoid using the --http-headers option with credentials and do not include userinfo in the --url parameter when fetching schemas from untrusted or redirect-prone hosts. Note that disabling credential submission may break access to schemas that require authentication; the only complete fix is to upgrade.

Affected VersionsENISA

datamodel-code-generator < 0.63.0

Affected Packages

pypi datamodel-code-generator fix: 0.63.0

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in pypi

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The vulnerability resides in the HTTP request handling of datamodel-code-generator, a Python tool that generates data models from schema definitions. It uses the httpx library to fetch remote schemas, but the get_body() function manually follows redirects without stripping sensitive headers when the redirect changes origin (scheme, host, or port). This violates the same-origin credential scoping behavior that browsers and standard HTTP clients enforce, leading to CWE-200 (Information Exposure). The CPE cpe:2.3:a:koxudaxi:datamodel-code-generator:*:*:*:*:*:*:* covers all versions, with the fix introduced in commit a585c037c8307b7aae815de193b7fe1c4c44994b.

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Severity by source

Vendor (GitHub_M) PRIMARY 3.7 LOW
AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
vuln.today AI 3.7 LOW

Attack requires redirect to different origin (complex), no privileges needed, only confidential headers leaked.

3.1 AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
4.0 AV:N/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

Primary rating from Vendor (GitHub_M).

CVSS VectorVendor: GitHub_M

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

Lifecycle Timeline

1
Patch available
Jul 28, 2026 - 23:02 EUVD

DescriptionCVE.org

datamodel-code-generator generates Python data models from schema definitions. Prior to 0.63.0, src/datamodel_code_generator/http.py get_body reuses Authorization, Cookie, and Proxy-Authorization headers when following cross-origin redirects while fetching remote schemas, allowing credentials scoped to one schema host to be leaked to another redirect target. This issue is fixed in version 0.63.0.

Threat Intelligence Overview

EPSS Score
0.2%
Top 88% exploitable
Prevalence
Low
Niche Python developer tool, limited production footprint.
Threat Intel
1
1 sources
Social Media
2
Sightings
Data Quality
7 sources
Confidence: High
EUVD NVD CVE.org EPSS Vulnrichment GHSA CIRCL GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity LOW
CISA KEV No
Public POC No
EPSS 0.2%
Patch available Yes
Active threat No
Deciding rule
LOW severity (CVSS 0.1-3.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation
Poc
System Exposure· derived
Open
Automatable
No
Human Impact· derived
Low
Technical Impact
Partial

Priority Score

18
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +18
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.

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