CVE-2024-5185 (GCVE-0-2024-5185)
Vulnerability from cvelistv5 – Published: 2024-05-29 13:00 – Updated: 2024-09-03 17:48
VLAI
EPSS
VEX
Title
Data Poisoning in EmbedAI
Summary
The EmbedAI application is susceptible to security issues that enable Data Poisoning attacks. This weakness could result in the application becoming compromised, leading to unauthorized entries or data poisoning attacks, which are delivered by a CSRF vulnerability due to the absence of a secure session management implementation and weak CORS policies weakness. An attacker can direct a user to a malicious webpage that exploits a CSRF vulnerability within the EmbedAI application. By leveraging this CSRF vulnerability, the attacker can deceive the user into inadvertently uploading and integrating incorrect data into the application’s language model.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-05 19:28 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SamurAIGPT | EmbedAI |
Affected:
0 , ≤ b2ad64a85aaec6c301ead16ce5865edaf13be608
(git)
|
guessed |
Date Public
2024-05-29 13:00
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-01T21:03:11.094Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_transferred"
],
"url": "https://www.synopsys.com/blogs/software-security/cyrc-advisory-data-poisoning-embedai.html"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2024-5185",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-08-05T19:28:21.443254Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-09-03T17:48:11.058Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "EmbedAI",
"vendor": "SamurAIGPT",
"versions": [
{
"lessThanOrEqual": "b2ad64a85aaec6c301ead16ce5865edaf13be608",
"status": "affected",
"version": "0",
"versionType": "git"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Mohammed Alshehri"
}
],
"datePublic": "2024-05-29T13:00:00.000Z",
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "The EmbedAI application is susceptible to security issues that enable Data Poisoning attacks. This weakness could result in the application becoming compromised, leading to unauthorized entries or data poisoning attacks, which are delivered by a CSRF vulnerability due to the absence of a secure session management implementation and weak CORS policies weakness.\u0026nbsp;An attacker can direct a user to a malicious webpage that exploits a CSRF vulnerability within the EmbedAI application. By leveraging this CSRF vulnerability, the attacker can deceive the user into inadvertently uploading and integrating incorrect data into the application\u2019s language model."
}
],
"value": "The EmbedAI application is susceptible to security issues that enable Data Poisoning attacks. This weakness could result in the application becoming compromised, leading to unauthorized entries or data poisoning attacks, which are delivered by a CSRF vulnerability due to the absence of a secure session management implementation and weak CORS policies weakness.\u00a0An attacker can direct a user to a malicious webpage that exploits a CSRF vulnerability within the EmbedAI application. By leveraging this CSRF vulnerability, the attacker can deceive the user into inadvertently uploading and integrating incorrect data into the application\u2019s language model."
}
],
"impacts": [
{
"capecId": "CAPEC-141",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-141: Cache Poisoning"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "ADJACENT",
"baseScore": 8.3,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "HIGH",
"userInteraction": "ACTIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:A/VC:N/VI:H/VA:H/SC:N/SI:H/SA:H",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-352",
"description": "CWE-352 Cross-Site Request Forgery (CSRF)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-08-30T18:48:22.369Z",
"orgId": "8cad7728-009c-4a3d-a95e-ca62e6ff8a0b",
"shortName": "SNPS"
},
"references": [
{
"url": "https://www.synopsys.com/blogs/software-security/cyrc-advisory-data-poisoning-embedai.html"
}
],
"source": {
"discovery": "UNKNOWN"
},
"timeline": [
{
"lang": "en",
"time": "2024-02-26T14:09:00.000Z",
"value": "Initial Contact Attempt"
},
{
"lang": "en",
"time": "2024-04-04T15:49:00.000Z",
"value": "Second Contact Attempt"
},
{
"lang": "en",
"time": "2024-05-01T13:23:00.000Z",
"value": "Final Contact Attempt"
},
{
"lang": "en",
"time": "2024-05-03T13:00:00.000Z",
"value": "Confirmed Disclosure to Recipient(s)"
}
],
"title": "Data Poisoning in EmbedAI",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "8cad7728-009c-4a3d-a95e-ca62e6ff8a0b",
"assignerShortName": "SNPS",
"cveId": "CVE-2024-5185",
"datePublished": "2024-05-29T13:00:28.692Z",
"dateReserved": "2024-05-21T20:04:49.762Z",
"dateUpdated": "2024-09-03T17:48:11.058Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2024-5185",
"date": "2026-11-10",
"epss": "0.00158",
"percentile": "0.04996"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "EmbedAI",
"vendor": "SamurAIGPT",
"versions": [
{
"lessThanOrEqual": "b2ad64a85aaec6c301ead16ce5865edaf13be608",
"status": "affected",
"version": "0",
"versionType": "git"
}
]
}
],
"source": "disclosure@synopsys.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The EmbedAI application is susceptible to security issues that enable Data Poisoning attacks. This weakness could result in the application becoming compromised, leading to unauthorized entries or data poisoning attacks, which are delivered by a CSRF vulnerability due to the absence of a secure session management implementation and weak CORS policies weakness.\u00a0An attacker can direct a user to a malicious webpage that exploits a CSRF vulnerability within the EmbedAI application. By leveraging this CSRF vulnerability, the attacker can deceive the user into inadvertently uploading and integrating incorrect data into the application\u2019s language model."
},
{
"lang": "es",
"value": "La aplicaci\u00f3n EmbedAI es susceptible a problemas de seguridad que permiten ataques de envenenamiento de datos. Esta debilidad podr\u00eda hacer que la aplicaci\u00f3n se vea comprometida, lo que provocar\u00eda entradas no autorizadas o ataques de envenenamiento de datos, que se generan mediante una vulnerabilidad CSRF debido a la ausencia de una implementaci\u00f3n de gesti\u00f3n de sesi\u00f3n segura y pol\u00edticas CORS d\u00e9biles. Un atacante puede dirigir a un usuario a una p\u00e1gina web maliciosa que aproveche una vulnerabilidad CSRF dentro de la aplicaci\u00f3n EmbedAI. Al aprovechar esta vulnerabilidad CSRF, el atacante puede enga\u00f1ar al usuario para que, sin darse cuenta, cargue e integre datos incorrectos en el modelo de lenguaje de la aplicaci\u00f3n."
}
],
"id": "CVE-2024-5185",
"lastModified": "2026-06-17T08:15:22.030",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.1,
"impactScore": 5.2,
"source": "disclosure@synopsys.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "ADJACENT",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.3,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "HIGH",
"userInteraction": "ACTIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:A/VC:N/VI:H/VA:H/SC:N/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@synopsys.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-5185",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-08-05T19:28:21.443254Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-05-29T13:15:50.003",
"references": [
{
"source": "disclosure@synopsys.com",
"url": "https://www.synopsys.com/blogs/software-security/cyrc-advisory-data-poisoning-embedai.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://www.synopsys.com/blogs/software-security/cyrc-advisory-data-poisoning-embedai.html"
}
],
"sourceIdentifier": "disclosure@synopsys.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"source": "disclosure@synopsys.com",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2025-05-28T22:13:55+00:00",
"cve": "CVE-2024-5185",
"id": "CVE-2024-5185",
"initial_release_date": "2024-05-29T13:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Data Poisoning in EmbedAI",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-5185.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-01T21:03:11.094Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_transferred"
],
"url": "https://www.synopsys.com/blogs/software-security/cyrc-advisory-data-poisoning-embedai.html"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2024-5185",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-08-05T19:28:21.443254Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-09-03T17:48:01.402Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "EmbedAI",
"vendor": "SamurAIGPT",
"versions": [
{
"lessThanOrEqual": "b2ad64a85aaec6c301ead16ce5865edaf13be608",
"status": "affected",
"version": "0",
"versionType": "git"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Mohammed Alshehri"
}
],
"datePublic": "2024-05-29T13:00:00.000Z",
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "The EmbedAI application is susceptible to security issues that enable Data Poisoning attacks. This weakness could result in the application becoming compromised, leading to unauthorized entries or data poisoning attacks, which are delivered by a CSRF vulnerability due to the absence of a secure session management implementation and weak CORS policies weakness.\u0026nbsp;An attacker can direct a user to a malicious webpage that exploits a CSRF vulnerability within the EmbedAI application. By leveraging this CSRF vulnerability, the attacker can deceive the user into inadvertently uploading and integrating incorrect data into the application\u2019s language model."
}
],
"value": "The EmbedAI application is susceptible to security issues that enable Data Poisoning attacks. This weakness could result in the application becoming compromised, leading to unauthorized entries or data poisoning attacks, which are delivered by a CSRF vulnerability due to the absence of a secure session management implementation and weak CORS policies weakness.\u00a0An attacker can direct a user to a malicious webpage that exploits a CSRF vulnerability within the EmbedAI application. By leveraging this CSRF vulnerability, the attacker can deceive the user into inadvertently uploading and integrating incorrect data into the application\u2019s language model."
}
],
"impacts": [
{
"capecId": "CAPEC-141",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-141: Cache Poisoning"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "ADJACENT",
"baseScore": 8.3,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "HIGH",
"userInteraction": "ACTIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:A/VC:N/VI:H/VA:H/SC:N/SI:H/SA:H",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-352",
"description": "CWE-352 Cross-Site Request Forgery (CSRF)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-08-30T18:48:22.369Z",
"orgId": "8cad7728-009c-4a3d-a95e-ca62e6ff8a0b",
"shortName": "SNPS"
},
"references": [
{
"url": "https://www.synopsys.com/blogs/software-security/cyrc-advisory-data-poisoning-embedai.html"
}
],
"source": {
"discovery": "UNKNOWN"
},
"timeline": [
{
"lang": "en",
"time": "2024-02-26T14:09:00.000Z",
"value": "Initial Contact Attempt"
},
{
"lang": "en",
"time": "2024-04-04T15:49:00.000Z",
"value": "Second Contact Attempt"
},
{
"lang": "en",
"time": "2024-05-01T13:23:00.000Z",
"value": "Final Contact Attempt"
},
{
"lang": "en",
"time": "2024-05-03T13:00:00.000Z",
"value": "Confirmed Disclosure to Recipient(s)"
}
],
"title": "Data Poisoning in EmbedAI",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "8cad7728-009c-4a3d-a95e-ca62e6ff8a0b",
"assignerShortName": "SNPS",
"cveId": "CVE-2024-5185",
"datePublished": "2024-05-29T13:00:28.692Z",
"dateReserved": "2024-05-21T20:04:49.762Z",
"dateUpdated": "2024-09-03T17:48:11.058Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
Loading…
Loading…
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
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
Loading timeline…
Loading…
Loading…
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.
Loading…
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.