CVE-2026-48710 (GCVE-0-2026-48710)
Vulnerability from cvelistv5 – Published: 2026-05-26 21:54 – Updated: 2026-09-04 12:05Title
Starlette has missing Host header validation that poisons request.url.path, bypassing path-based security checks
Summary
Starlette is a lightweight ASGI framework/toolkit. Prior to version 1.0.1, the HTTP `Host` request header was not validated before being used to reconstruct `request.url`. Because the routing algorithm relies on the raw HTTP path while `request.url` is rebuilt from the `Host` header, a malformed header could make `request.url.path` differ from the path that was actually requested. Middleware and endpoints that apply security restrictions based on `request.url` (rather than the raw `scope` path) could therefore be bypassed. Users should upgrade to a version greater than or equal to version 1.0.1, which validates the `Host` header against the grammar of RFC 9112 §3.2 / RFC 3986 §3.2.2 when constructing `request.url` and falls back to `scope["server"]` for malformed values.
Severity
6.5 (Medium)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-02 00:00 UTC
CWE
Assigner
References
29 references
Impacted products
52 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Kludex | starlette |
Affected:
< 1.0.1
|
guessed | |
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782353093 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
||
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782352847 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1780102732 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
||
| Red Hat | Red Hat Ansible Automation Platform 2.7 |
Unaffected:
1780099185 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.7::el9 |
||
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782997656 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471672 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471731 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471732 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471849 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471734 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782991170 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782472374 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471796 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471661 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471753 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471740 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471834 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471730 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132126 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132686 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132403 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132444 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132767 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132493 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132379 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782133907 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782420349 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782133865 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782133337 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132473 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132660 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782301637 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132564 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782135300 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786612415 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787068065 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
||
| Red Hat | Red Hat Satellite 6.17 |
Unaffected:
1784834402 , < *
(rpm)
cpe:/a:redhat:satellite:6.17::el9 |
||
| Red Hat | Red Hat Satellite 6.18 |
Unaffected:
1780492008 , < *
(rpm)
cpe:/a:redhat:satellite:6.18::el9 |
||
| Red Hat | Red Hat Satellite 6.18 |
Unaffected:
1780414237 , < *
(rpm)
cpe:/a:redhat:satellite:6.18::el9 |
||
| Red Hat | Red Hat Satellite 6.18 |
Unaffected:
1784554123 , < *
(rpm)
cpe:/a:redhat:satellite:6.18::el9 |
||
| Red Hat | Red Hat Satellite 6.19 |
Unaffected:
1780492012 , < *
(rpm)
cpe:/a:redhat:satellite:6.19::el9 |
||
| Red Hat | Red Hat Satellite 6.19 |
Unaffected:
1782139619 , < *
(rpm)
cpe:/a:redhat:satellite:6.19::el9 |
||
| Red Hat | Red Hat Satellite 6.19 |
Unaffected:
1780403026 , < *
(rpm)
cpe:/a:redhat:satellite:6.19::el9 |
||
| Red Hat | Red Hat Satellite 6.19 |
Unaffected:
1788190224 , < *
(rpm)
cpe:/a:redhat:satellite:6.19::el9 |
||
| Red Hat | Exploit Intelligence |
cpe:/a:redhat:exploit_intelligence:0
|
||
| Red Hat | OpenShift Lightspeed |
cpe:/a:redhat:openshift_lightspeed
|
||
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
||
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2
|
||
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3
|
||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 87f4e206-8c3a-4734-a0b3-0cb2874ce257
Exploited: Yes
Timestamps
First Seen: 2026-09-02
Asserted: 2026-09-02
Scope
Notes: Kludex Starlette HTTP Request/Response Smuggling Vulnerability | Affected: Kludex / Starlette | Description: Kludex Starlette contains a HTTP request/response smuggling vulnerability that could allow attackers to inject paths into the host part, prepending the actual path leading to issues such as authentication bypass when the authentication depends on the reconstructed URL’s path. This vulnerability could be chaned with CVE-2026-42271. | Required action: Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines. | Due date: 2026-09-16 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): This vulnerability affects an open-source component, third-party library, protocol, or proprietary implementation that could be used by different products. For more information, please see: https://github.com/Kludex/starlette/security/advisories/GHSA-86qp-5c8j-p5mr ; BOD 26-04: https://www.cisa.gov/news-events/directives/bod-26-04-prioritizing-security-updates-based-risk ; Forensics Triage Requirements: https://www.cisa.gov/news-events/directives/bod-26-04-implementation-guidance-prioritizing-security-updates-based-risk ; https://nvd.nist.gov/vuln/detail/CVE-2026-48710
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-444 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Starlette |
| Due Date | 2026-09-16 |
| Date Added | 2026-09-02 |
| Vendorproject | Kludex |
| Vulnerabilityname | Kludex Starlette HTTP Request/Response Smuggling Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-09-02 18:00 UTC
| Updated: 2026-09-02 18:00 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 0ae77e06-8eea-4b3c-935d-a00f99b05c75
Exploited: Yes
Timestamps
First Seen: 2026-09-02
Asserted: 2026-09-02
Scope
Notes: Starlette has missing Host header validation that poisons request.url.path, bypassing path-based security checks | Affected: Kludex / starlette | CVSS: 6.5 (MEDIUM) | EPSS: 0.02099 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Starlette has missing Host header validation that poisons request.url.path, bypassing path-based security checks |
| Vendor | Kludex |
| Product | starlette |
| Added Date | 2026-09-02T17:31:02.748Z |
| Cvss Score | 6.5 |
| Epss Score | 0.02099 |
| Cvss Severity | MEDIUM |
| Epss Percentile | 0.80418 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-09-03 18:00 UTC
| Updated: 2026-09-03 18:00 UTC
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"source": "Red Hat CSAF VEX",
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"title": "starlette: Starlette: Security restriction bypass via malformed HTTP Host header",
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}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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