CWE-203
AllowedObservable Discrepancy
Abstraction: Base · Status: Incomplete
The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor.
204 vulnerabilities reference this CWE, most recent first.
CVE-2026-33425 (GCVE-0-2026-33425)
Vulnerability from cvelistv5 – Published: 2026-03-20 23:12 – Updated: 2026-03-23 16:48| URL | Tags |
|---|---|
| https://github.com/discourse/discourse/security/a… | x_refsource_CONFIRM |
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CVE-2026-28490 (GCVE-0-2026-28490)
Vulnerability from cvelistv5 – Published: 2026-03-16 17:37 – Updated: 2026-03-16 18:17| URL | Tags |
|---|---|
| https://github.com/authlib/authlib/security/advis… | x_refsource_CONFIRM |
| https://github.com/authlib/authlib/commit/48b345f… | x_refsource_MISC |
| https://github.com/authlib/authlib/releases/tag/v1.6.9 | x_refsource_MISC |
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CVE-2026-26315 (GCVE-0-2026-26315)
Vulnerability from cvelistv5 – Published: 2026-02-19 21:22 – Updated: 2026-02-20 15:42- CWE-203 - Observable Discrepancy
| URL | Tags |
|---|---|
| https://github.com/ethereum/go-ethereum/security/… | x_refsource_CONFIRM |
| Vendor | Product | Version | |
|---|---|---|---|
| ethereum | go-ethereum |
Affected:
< 1.16.9
|
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CVE-2026-26185 (GCVE-0-2026-26185)
Vulnerability from cvelistv5 – Published: 2026-02-12 21:54 – Updated: 2026-02-13 15:59- CWE-203 - Observable Discrepancy
| URL | Tags |
|---|---|
| https://github.com/directus/directus/security/adv… | x_refsource_CONFIRM |
| https://github.com/directus/directus/pull/26485 | x_refsource_MISC |
| https://github.com/directus/directus/commit/e69aa… | x_refsource_MISC |
| https://github.com/directus/directus/releases/tag… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| directus | directus |
Affected:
< 11.14.1
|
|
| directus | @directus/api |
Affected:
< 32.2.0
|
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CVE-2026-25562 (GCVE-0-2026-25562)
Vulnerability from cvelistv5 – Published: 2026-02-07 21:57 – Updated: 2026-07-14 15:53- CWE-203 - Observable Discrepancy
| URL | Tags |
|---|---|
| https://github.com/wekan/wekan/commit/6dfa3beb2b6… | patch |
| https://wekan.fi/ | product |
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CVE-2026-23937 (GCVE-0-2026-23937)
Vulnerability from cvelistv5 – Published: 2026-08-18 12:20 – Updated: 2026-08-18 13:34- CWE-203 - Observable Discrepancy
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CVE-2026-23931 (GCVE-0-2026-23931)
Vulnerability from cvelistv5 – Published: 2026-08-18 12:17 – Updated: 2026-08-18 13:35- CWE-203 - Observable Discrepancy
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CVE-2026-23621 (GCVE-0-2026-23621)
Vulnerability from cvelistv5 – Published: 2026-02-19 18:01 – Updated: 2026-05-14 02:09- CWE-203 - Observable Discrepancy
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CVE-2026-23620 (GCVE-0-2026-23620)
Vulnerability from cvelistv5 – Published: 2026-02-19 18:00 – Updated: 2026-05-26 11:52- CWE-203 - Observable Discrepancy
| URL | Tags |
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| https://www.vulncheck.com/advisories/gfi-mailesse… | third-party-advisory |
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"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"references": [
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"tags": [
"release-notes",
"patch"
],
"url": "https://gfi.ai/products-and-solutions/network-security-solutions/mailessentials/resources/documentation/product-releases"
},
{
"tags": [
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"url": "https://www.vulncheck.com/advisories/gfi-mailessentials-ai-listserver-isdbexist-absolute-directory-traversal-to-file-enumeration"
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],
"source": {
"discovery": "EXTERNAL"
},
"title": "GFI MailEssentials AI \u003c 22.4 ListServer.IsDBExist() Absolute Directory Traversal to File Enumeration",
"x_generator": {
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}
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"cveId": "CVE-2026-23620",
"datePublished": "2026-02-19T18:00:35.460Z",
"dateReserved": "2026-01-14T16:02:29.335Z",
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CVE-2026-21484 (GCVE-0-2026-21484)
Vulnerability from cvelistv5 – Published: 2026-01-03 01:21 – Updated: 2026-01-05 20:36| URL | Tags |
|---|---|
| https://github.com/Mintplex-Labs/anything-llm/sec… | x_refsource_CONFIRM |
| https://github.com/Mintplex-Labs/anything-llm/com… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| Mintplex-Labs | anything-llm |
Affected:
< e287fab56089cf8fcea9ba579a3ecdeca0daa313
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-21484",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-01-05T20:32:28.995295Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-01-05T20:36:58.168Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "anything-llm",
"vendor": "Mintplex-Labs",
"versions": [
{
"status": "affected",
"version": "\u003c e287fab56089cf8fcea9ba579a3ecdeca0daa313"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to commit e287fab56089cf8fcea9ba579a3ecdeca0daa313, the password recovery endpoint returns different error messages depending on whether a username exists, so enabling username enumeration. Commit e287fab56089cf8fcea9ba579a3ecdeca0daa313 fixes this issue."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
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"scope": "UNCHANGED",
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}
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"description": "CWE-203: Observable Discrepancy",
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"type": "CWE"
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]
},
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"cweId": "CWE-204",
"description": "CWE-204: Observable Response Discrepancy",
"lang": "en",
"type": "CWE"
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]
}
],
"providerMetadata": {
"dateUpdated": "2026-01-03T01:21:39.386Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-47vr-w3vm-69ch",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-47vr-w3vm-69ch"
},
{
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"tags": [
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"url": "https://github.com/Mintplex-Labs/anything-llm/commit/e287fab56089cf8fcea9ba579a3ecdeca0daa313"
}
],
"source": {
"advisory": "GHSA-47vr-w3vm-69ch",
"discovery": "UNKNOWN"
},
"title": "AnythingLLM Vulnerable to Username Enumeration w/ Password Recovery"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-21484",
"datePublished": "2026-01-03T01:21:39.386Z",
"dateReserved": "2025-12-29T14:34:16.005Z",
"dateUpdated": "2026-01-05T20:36:58.168Z",
"state": "PUBLISHED"
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Mitigation MIT-46
Strategy: Separation of Privilege
- Compartmentalize the system to have "safe" areas where trust boundaries can be unambiguously drawn. Do not allow sensitive data to go outside of the trust boundary and always be careful when interfacing with a compartment outside of the safe area.
- Ensure that appropriate compartmentalization is built into the system design, and the compartmentalization allows for and reinforces privilege separation functionality. Architects and designers should rely on the principle of least privilege to decide the appropriate time to use privileges and the time to drop privileges.
Mitigation MIT-39
- Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or optimize their original attack, thereby increasing their chances of success.
- If errors must be captured in some detail, record them in log messages, but consider what could occur if the log messages can be viewed by attackers. Highly sensitive information such as passwords should never be saved to log files.
- Avoid inconsistent messaging that might accidentally tip off an attacker about internal state, such as whether a user account exists or not.
CAPEC-189: Black Box Reverse Engineering
An adversary discovers the structure, function, and composition of a type of computer software through black box analysis techniques. 'Black Box' methods involve interacting with the software indirectly, in the absence of direct access to the executable object. Such analysis typically involves interacting with the software at the boundaries of where the software interfaces with a larger execution environment, such as input-output vectors, libraries, or APIs. Black Box Reverse Engineering also refers to gathering physical side effects of a hardware device, such as electromagnetic radiation or sounds.