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(CVE-2025-30223)
Vulnerability from cleanstart – Published: 2026-07-30 07:10 – Updated: 2026-09-18 11:59 – Source website
Withdrawn 2026-09-18
VLAI
Summary
Security fixes in harbor-fips 2.11.2-r5
Details
Package harbor-fips version 2.11.2-r5 fixes 4 vulnerabilities: CVE-2025-30223, CVE-2024-55885, CVE-2025-27144, CVE-2025-54410
References
| URL | Type | |
|---|---|---|
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},
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{
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},
{
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}
],
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}
],
"versions": [
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]
}
],
"credits": [],
"database_specific": {},
"details": "Package harbor-fips version 2.11.2-r5 fixes 4 vulnerabilities: CVE-2025-30223, CVE-2024-55885, CVE-2025-27144, CVE-2025-54410",
"id": "CLEANSTART-2026-VJ80514",
"modified": "2026-09-18T11:59:01.768079Z",
"published": "2026-07-30T07:10:53Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/goharbor/harbor"
}
],
"related": [],
"schema_version": "1.7.3",
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"upstream": [
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"CVE-2024-55885",
"CVE-2025-27144",
"CVE-2025-54410"
],
"withdrawn": "2026-09-18T11:59:01.768079Z"
}
CVE-2024-55885 (GCVE-0-2024-55885)
Vulnerability from cvelistv5 – Published: 2024-12-12 19:23 – Updated: 2024-12-13 15:46
VLAI
EPSS
VEX
Title
Beego Vulnerable to Collision Hazards of MD5 in Cache Key Filenames
Summary
beego is an open-source web framework for the Go programming language. Versions of beego prior to 2.3.4 use MD5 as a hashing algorithm. MD5 is no longer considered secure against well-funded opponents due to its vulnerability to collision attacks. Version 2.3.4 replaces MD5 with SHA256.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-13 15:46 UTC
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/beego/beego/security/advisorie… | x_refsource_CONFIRM |
| https://github.com/beego/beego/commit/e7fa4835f71… | x_refsource_MISC |
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CVE-2025-27144 (GCVE-0-2025-27144)
Vulnerability from cvelistv5 – Published: 2025-02-24 22:22 – Updated: 2025-02-25 14:27
VLAI
EPSS
VEX
Title
Go JOSE's Parsing Vulnerable to Denial of Service
Summary
Go JOSE provides an implementation of the Javascript Object Signing and Encryption set of standards in Go, including support for JSON Web Encryption (JWE), JSON Web Signature (JWS), and JSON Web Token (JWT) standards. In versions on the 4.x branch prior to version 4.0.5, when parsing compact JWS or JWE input, Go JOSE could use excessive memory. The code used strings.Split(token, ".") to split JWT tokens, which is vulnerable to excessive memory consumption when processing maliciously crafted tokens with a large number of `.` characters. An attacker could exploit this by sending numerous malformed tokens, leading to memory exhaustion and a Denial of Service. Version 4.0.5 fixes this issue. As a workaround, applications could pre-validate that payloads passed to Go JOSE do not contain an excessive number of `.` characters.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-25 14:26 UTC
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/go-jose/go-jose/security/advis… | x_refsource_CONFIRM |
| https://github.com/go-jose/go-jose/commit/99b346c… | x_refsource_MISC |
| https://github.com/go-jose/go-jose/releases/tag/v4.0.5 | x_refsource_MISC |
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CVE-2025-30223 (GCVE-0-2025-30223)
Vulnerability from cvelistv5 – Published: 2025-03-31 16:17 – Updated: 2025-03-31 18:21
VLAI
EPSS
VEX
Title
Beego allows Reflected/Stored XSS in Beego's RenderForm() Function Due to Unescaped User Input
Summary
Beego is an open-source web framework for the Go programming language. Prior to 2.3.6, a Cross-Site Scripting (XSS) vulnerability exists in Beego's RenderForm() function due to improper HTML escaping of user-controlled data. This vulnerability allows attackers to inject malicious JavaScript code that executes in victims' browsers, potentially leading to session hijacking, credential theft, or account takeover. The vulnerability affects any application using Beego's RenderForm() function with user-provided data. Since it is a high-level function generating an entire form markup, many developers would assume it automatically escapes attributes (the way most frameworks do). This vulnerability is fixed in 2.3.6.
Severity
9.3 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-31 18:20 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/beego/beego/security/advisorie… | x_refsource_CONFIRM |
| https://github.com/beego/beego/commit/939bb18c664… | x_refsource_MISC |
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CVE-2025-54410 (GCVE-0-2025-54410)
Vulnerability from cvelistv5 – Published: 2025-07-30 13:24 – Updated: 2025-07-30 13:38
VLAI
EPSS
VEX
Title
Moby's Firewalld reload removes bridge network isolation
Summary
Moby is an open source container framework developed by Docker Inc. that is distributed as Docker Engine, Mirantis Container Runtime, and various other downstream projects/products. A firewalld vulnerability affects Moby releases before 28.0.0. When firewalld reloads, Docker fails to re-create iptables rules that isolate bridge networks, allowing any container to access all ports on any other container across different bridge networks on the same host. This breaks network segmentation between containers that should be isolated, creating significant risk in multi-tenant environments. Only containers in --internal networks remain protected.
Workarounds include reloading firewalld and either restarting the docker daemon, re-creating bridge networks, or using rootless mode. Maintainers anticipate a fix for this issue in version 25.0.13.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-30 13:37 UTC
CWE
- CWE-909 - Missing Initialization of Resource
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/moby/moby/security/advisories/… | x_refsource_CONFIRM |
| https://firewalld.org/documentation/howto/reload-… | x_refsource_MISC |
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Trend slope:
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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