CWE-178
AllowedImproper Handling of Case Sensitivity
Abstraction: Base · Status: Incomplete
The product does not properly account for differences in case sensitivity when accessing or determining the properties of a resource, leading to inconsistent results.
141 vulnerabilities reference this CWE, most recent first.
CVE-2026-62230 (GCVE-0-2026-62230)
Vulnerability from cvelistv5 – Published: 2026-07-17 00:07 – Updated: 2026-07-17 14:09 X_Open Source- CWE-178 - Improper Handling of Case Sensitivity
| URL | Tags |
|---|---|
| https://github.com/getgrav/grav/security/advisori… | vendor-advisory |
| https://www.vulncheck.com/advisories/grav-file-ac… | third-party-advisory |
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CVE-2026-58057 (GCVE-0-2026-58057)
Vulnerability from cvelistv5 – Published: 2026-06-28 01:32 – Updated: 2026-06-29 12:25- CWE-178 - Improper Handling of Case Sensitivity
| URL | Tags |
|---|---|
| https://github.com/bikini/exploitarium/tree/main/… | exploitthird-party-advisory |
| https://github.com/FlowiseAI/Flowise/pull/6471 | issue-tracking |
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CVE-2026-57234 (GCVE-0-2026-57234)
Vulnerability from cvelistv5 – Published: 2026-06-25 14:30 – Updated: 2026-06-25 15:05| URL | Tags |
|---|---|
| https://github.com/sparklemotion/nokogiri/securit… | x_refsource_CONFIRM |
| Vendor | Product | Version | |
|---|---|---|---|
| sparklemotion | nokogiri |
Affected:
< 1.19.4
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CVE-2026-55170 (GCVE-0-2026-55170)
Vulnerability from cvelistv5 – Published: 2026-07-09 21:04 – Updated: 2026-07-10 14:26- CWE-178 - Improper Handling of Case Sensitivity
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CVE-2026-54763 (GCVE-0-2026-54763)
Vulnerability from cvelistv5 – Published: 2026-07-06 20:33 – Updated: 2026-07-08 19:42| URL | Tags |
|---|---|
| https://github.com/traefik/traefik/security/advis… | x_refsource_CONFIRM |
| https://github.com/traefik/traefik/pull/13262 | x_refsource_MISC |
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CVE-2026-54528 (GCVE-0-2026-54528)
Vulnerability from cvelistv5 – Published: 2026-07-08 21:04 – Updated: 2026-07-09 13:04- CWE-178 - Improper Handling of Case Sensitivity
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab-git/secu… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab-git/comm… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab-git/rele… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab-git |
Affected:
< 0.54.0
|
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CVE-2026-53721 (GCVE-0-2026-53721)
Vulnerability from cvelistv5 – Published: 2026-06-12 13:41 – Updated: 2026-06-13 02:59| URL | Tags |
|---|---|
| https://github.com/nuxt/nuxt/security/advisories/… | x_refsource_CONFIRM |
| https://github.com/nuxt/nuxt/commit/07e39cd6f26e4… | x_refsource_MISC |
| https://github.com/nuxt/nuxt/commit/3f3e3fa7b5eec… | x_refsource_MISC |
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CVE-2026-53595 (GCVE-0-2026-53595)
Vulnerability from cvelistv5 – Published: 2026-07-20 20:14 – Updated: 2026-07-21 14:56| URL | Tags |
|---|---|
| https://github.com/freescout-help-desk/freescout/… | x_refsource_CONFIRM |
| Vendor | Product | Version | |
|---|---|---|---|
| freescout-help-desk | freescout |
Affected:
< 1.8.224
|
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CVE-2026-49336 (GCVE-0-2026-49336)
Vulnerability from cvelistv5 – Published: 2026-06-19 18:19 – Updated: 2026-06-22 15:05| URL | Tags |
|---|---|
| https://github.com/microsoft/kiota-typescript/sec… | x_refsource_CONFIRM |
| https://github.com/microsoft/kiota-typescript/com… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| microsoft | kiota-typescript |
Affected:
>= 1.0.0-preview.97, < 1.0.0-preview.102
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"title": "@microsoft/kiota-http-fetchlibrary: Bearer token and Cookie leak across origin on redirect due to case-mismatched scrub in fetchRequestAdapter"
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CVE-2026-48794 (GCVE-0-2026-48794)
Vulnerability from cvelistv5 – Published: 2026-06-19 20:23 – Updated: 2026-06-22 19:51| URL | Tags |
|---|---|
| https://github.com/authelia/authelia/security/adv… | x_refsource_CONFIRM |
| https://github.com/authelia/authelia/commit/b6d1d… | x_refsource_MISC |
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Mitigation MIT-44
Strategy: Input Validation
Avoid making decisions based on names of resources (e.g. files) if those resources can have alternate names.
Mitigation MIT-5
Strategy: Input Validation
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
Mitigation MIT-20
Strategy: Input Validation
Inputs should be decoded and canonicalized to the application's current internal representation before being validated (CWE-180). Make sure that the application does not decode the same input twice (CWE-174). Such errors could be used to bypass allowlist validation schemes by introducing dangerous inputs after they have been checked.
No CAPEC attack patterns related to this CWE.