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Vulnerability from cleanstart
Published
2026-09-01 11:17
Modified
2026-09-02 06:36
Summary
Security fixes in litellm-database 1.97.0-r0
Details
Package litellm-database version 1.97.0-r0 fixes 5 vulnerabilities: CVE-2026-54282, CVE-2025-62727, CVE-2026-48818, CVE-2026-54283, CVE-2025-54121
References
| URL | Type | |
|---|---|---|
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],
"credits": [],
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"details": "Package litellm-database version 1.97.0-r0 fixes 5 vulnerabilities: CVE-2026-54282, CVE-2025-62727, CVE-2026-48818, CVE-2026-54283, CVE-2025-54121",
"id": "CLEANSTART-2026-TE29052",
"modified": "2026-09-02T06:36:32Z",
"published": "2026-09-01T11:17:16Z",
"references": [
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}
],
"related": [],
"schema_version": "1.7.3",
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"upstream": [
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CVE-2025-54121 (GCVE-0-2025-54121)
Vulnerability from cvelistv5 – Published: 2025-07-21 20:06 – Updated: 2025-07-22 19:54
VLAI
EPSS
VEX
Title
Starlette has possible denial-of-service vector when parsing large files in multipart forms
Summary
Starlette is a lightweight ASGI (Asynchronous Server Gateway Interface) framework/toolkit, designed for building async web services in Python. In versions 0.47.1 and below, when parsing a multi-part form with large files (greater than the default max spool size) starlette will block the main thread to roll the file over to disk. This blocks the event thread which means the application can't accept new connections. The UploadFile code has a minor bug where instead of just checking for self._in_memory, the logic should also check if the additional bytes will cause a rollover. The vulnerability is fixed in version 0.47.2.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-22 19:54 UTC
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/encode/starlette/security/advi… | x_refsource_CONFIRM |
| https://github.com/encode/starlette/commit/9f7ec2… | x_refsource_MISC |
| https://github.com/encode/starlette/blob/fa535544… | x_refsource_MISC |
| https://github.com/encode/starlette/discussions/2… | x_refsource_MISC |
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CVE-2025-62727 (GCVE-0-2025-62727)
Vulnerability from cvelistv5 – Published: 2025-10-28 20:14 – Updated: 2025-11-04 17:41
VLAI
EPSS
VEX
Title
Starlette vulnerable to O(n^2) DoS via Range header merging in starlette.responses.FileResponse
Summary
Starlette is a lightweight ASGI framework/toolkit. Starting in version 0.39.0 and prior to version 0.49.1 , an unauthenticated attacker can send a crafted HTTP Range header that triggers quadratic-time processing in Starlette's FileResponse Range parsing/merging logic. This enables CPU exhaustion per request, causing denial‑of‑service for endpoints serving files (e.g., StaticFiles or any use of FileResponse). This vulnerability is fixed in 0.49.1.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-28 20:36 UTC
CWE
- CWE-407 - Inefficient Algorithmic Complexity
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/Kludex/starlette/security/advi… | x_refsource_CONFIRM |
| https://github.com/Kludex/starlette/commit/4ea6e2… | x_refsource_MISC |
| https://github.com/Kludex/starlette/commit/69ed26… | x_refsource_MISC |
| https://github.com/Kludex/starlette/releases/tag/0.49.1 | x_refsource_MISC |
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CVE-2026-48818 (GCVE-0-2026-48818)
Vulnerability from cvelistv5 – Published: 2026-06-17 17:50 – Updated: 2026-08-04 17:45
VLAI
EPSS
VEX
Title
Starlette: SSRF and NTLM credential theft via UNC paths in StaticFiles on Windows
Summary
Starlette is a lightweight ASGI framework/toolkit. In versions 1.0.1 and earlier, StaticFiles on Windows is vulnerable to SSRF. An UNC path such as \\attacker.com\share can cause os.path.realpath to initiate an outbound SMB connection before the path is rejected, exposing the service account’s NTLMv2 credentials for offline cracking or relay even though the HTTP response is only a 404. The issue affects default follow_symlink=False deployments, including frameworks built on Starlette such as FastAPI; POSIX systems and follow_symlink=True are unaffected. The issue is fixed in 1.1.0.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-17 19:31 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
11 references
| URL | Tags |
|---|---|
| https://github.com/Kludex/starlette/security/advi… | x_refsource_CONFIRM |
| https://github.com/Kludex/starlette/pull/3287 | x_refsource_MISC |
| https://github.com/Kludex/starlette/commit/fd5316… | x_refsource_MISC |
| https://github.com/Kludex/starlette/releases/tag/1.1.0 | x_refsource_MISC |
| https://github.com/pypa/advisory-database/tree/ma… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-48818 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2490020 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:30089 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:30088 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:30087 | vendor-advisoryx_refsource_REDHAT |
Impacted products
13 products
| Vendor | Product | Version | |
|---|---|---|---|
| Kludex | starlette |
Affected:
< 1.1.0
|
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782352919 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| 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 | Exploit Intelligence |
cpe:/a:redhat:exploit_intelligence:0
|
|
| Red Hat | Migration Toolkit for Applications 8 |
cpe:/a:redhat:migration_toolkit_applications:8
|
|
| 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 Hardened Images |
cpe:/a:redhat:hummingbird:1
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
|
| Red Hat | Red Hat Satellite 6 |
cpe:/a:redhat:satellite:6
|
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CVE-2026-54282 (GCVE-0-2026-54282)
Vulnerability from cvelistv5 – Published: 2026-06-22 16:45 – Updated: 2026-06-22 17:26
VLAI
EPSS
VEX
Title
Starlette: Unvalidated request path concatenated into authority poisons request.url.hostname
Summary
Starlette is a lightweight ASGI framework/toolkit. Prior to 1.3.0, the HTTP request path is not validated before being used to reconstruct request.url. Because request.url is rebuilt by concatenating {scheme}://{host}{path} and re-parsing the result, a path that does not begin with / (for example @google.com) moves the authority boundary during re-parsing, so request.url.hostname and request.url.netloc become attacker-controlled. Code that reads request.url.hostname (rather than the Host header or scope) can therefore be misled into trusting an attacker-supplied host. This vulnerability is fixed in 1.3.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-22 17:26 UTC
CWE
- CWE-706 - Use of Incorrectly-Resolved Name or Reference
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/Kludex/starlette/security/advi… | x_refsource_CONFIRM |
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CVE-2026-54283 (GCVE-0-2026-54283)
Vulnerability from cvelistv5 – Published: 2026-06-22 16:46 – Updated: 2026-06-23 16:10
VLAI
EPSS
VEX
Title
Starlette: request.form() limits silently ignored for application/x-www-form-urlencoded enable DoS
Summary
Starlette is a lightweight ASGI framework/toolkit. From 0.4.1 until 1.3.1, request.form() accepts max_fields and max_part_size to bound resource consumption while parsing form data. These limits are enforced for multipart/form-data, but silently ignored for application/x-www-form-urlencoded. An unauthenticated attacker can therefore send a urlencoded body with an arbitrarily large number of fields or an arbitrarily large field, even when the application configured limits it believed would apply. This vulnerability is fixed in 1.3.1.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-23 16:06 UTC
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/Kludex/starlette/security/advi… | x_refsource_CONFIRM |
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Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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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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