CVE-2026-55403 json
datamodel-code-generator: Authorization / request headers leaked to cross-origin redirect target when fetching remote schemas
published 4mo ago modified yesterday also EUVD-2026-50070 , GHSA-r5vv-ff45-prp2 , PYSEC-2026-3563
- cvss
- 3.7
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.3%
- EPSS 0.3% chance of exploitation in 30 days, percentile 27%
- public exploits
- 0
- none known
Summary
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.
Patch / fix
- pypi datamodel-code-generator 0.63.0
- koxudaxi datamodel-code-generator 0.63.0
- python-datamodel-code-generator openSUSE Tumbleweed 0.72.3-1.1
opensuse advisories openSUSE-SU-2026:11538-1
Is CVE-2026-55403 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerCISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- partial
- Assessed
- 3mo ago
Exploit prediction
0.34% chance of exploitation in the next 30 days, higher than 27% of all scored CVEs (FIRST EPSS, 2026-11-11).
Exploits and checks
- github.com https://github.com/koxudaxi/datamodel-code-generator/security/advisories/GHSA-r5vv-ff45-prp2 referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 3.7 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N |
| GitHub | 3.1 | 3.7 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N |
| OSV | 3.1 | 3.7 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | datamodel-code-generator | <0.63.0 |
0.63.0 |
Affected products
- koxudaxi datamodel-code-generator
Classification
References
-
github.com
/koxudaxi/datamodel-code-generator/commit/a585c037c8307b7aae815de193b7fe1c4c44994b
web
-
github.com
/koxudaxi/datamodel-code-generator/security/advisories/GHSA-r5vv-ff45-prp2
exploit, web
-
github.com
/koxudaxi/datamodel-code-generator/releases/tag/0.63.0
web
-
github.com
/koxudaxi/datamodel-code-generator
package
-
pypi.org
/project/datamodel-code-generator
package
-
github.com
/advisories/GHSA-r5vv-ff45-prp2
advisory
-
nvd.nist.gov
/vuln/detail/CVE-2026-55403
advisory
-
github.com
/datamodel-code-generator/datamodel-code-generator/security/advisories/GHSA-r5vv-ff45-prp2
advisory
Sources
- CVE List CVE-2026-55403
- GitHub Advisory GHSA-r5vv-ff45-prp2
- NVD CVE-2026-55403
- OSV PYSEC-2026-3563
- Maintainer advisory GHSA-r5vv-ff45-prp2
Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
The maintainers of datamodel-code-generator/datamodel-code-generator published their own advisory on GitHub. Reviewed sources take precedence over it.
CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.