CVE-2026-24903 (GCVE-0-2026-24903)

Vulnerability from cvelistv5 – Published: 2026-02-06 17:46 – Updated: 2026-02-06 18:05
VLAI
Title
OrcaStatLLM Researcher Stored Cross-Site Scripting (XSS) via Log Message Injection in Session Page
Summary
OrcaStatLLM Researcher is an LLM Based Research Paper Generator. A Stored Cross-Site Scripting (XSS) vulnerability was discovered in the Log Message in the Session Page in OrcaStatLLM-Researcher that allows attackers to inject and execute arbitrary JavaScript code in victims' browsers through malicious research topic inputs.
Severity
5.3 (Medium)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
Impacted products
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-24903",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-02-06T18:04:37.342672Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-02-06T18:05:02.550Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "OrcaStatLLM-Researcher",
          "vendor": "AlgoNetLab",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c= 1"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "OrcaStatLLM Researcher is an LLM Based Research Paper Generator. A Stored Cross-Site Scripting (XSS) vulnerability was discovered in the  Log Message in the Session Page in OrcaStatLLM-Researcher that allows attackers to inject and execute arbitrary JavaScript code in victims\u0027 browsers through malicious research topic inputs."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "NETWORK",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "privilegesRequired": "NONE",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "LOW",
            "subIntegrityImpact": "LOW",
            "userInteraction": "PASSIVE",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "NONE",
            "vulnConfidentialityImpact": "NONE",
            "vulnIntegrityImpact": "NONE"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-79",
              "description": "CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-02-06T17:46:20.755Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/AlgoNetLab/OrcaStatLLM-Researcher/security/advisories/GHSA-47wv-g894-82m4",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/AlgoNetLab/OrcaStatLLM-Researcher/security/advisories/GHSA-47wv-g894-82m4"
        }
      ],
      "source": {
        "advisory": "GHSA-47wv-g894-82m4",
        "discovery": "UNKNOWN"
      },
      "title": "OrcaStatLLM Researcher Stored Cross-Site Scripting (XSS) via Log Message Injection in Session Page"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-24903",
    "datePublished": "2026-02-06T17:46:20.755Z",
    "dateReserved": "2026-01-27T19:35:20.530Z",
    "dateUpdated": "2026-02-06T18:05:02.550Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-24903",
      "date": "2026-07-20",
      "epss": "0.00163",
      "percentile": "0.05913"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2026-24903\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-02-06T18:15:58.830\",\"lastModified\":\"2026-06-17T10:23:46.890\",\"vulnStatus\":\"Analyzed\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"OrcaStatLLM Researcher is an LLM Based Research Paper Generator. A Stored Cross-Site Scripting (XSS) vulnerability was discovered in the  Log Message in the Session Page in OrcaStatLLM-Researcher that allows attackers to inject and execute arbitrary JavaScript code in victims\u0027 browsers through malicious research topic inputs.\"},{\"lang\":\"es\",\"value\":\"OrcaStatLLM Researcher es un generador de art\u00edculos de investigaci\u00f3n basado en LLM. Se descubri\u00f3 una vulnerabilidad de cross-site scripting (XSS) almacenado en el mensaje de registro en la p\u00e1gina de sesi\u00f3n de OrcaStatLLM-Researcher que permite a los atacantes inyectar y ejecutar c\u00f3digo JavaScript arbitrario en los navegadores de las v\u00edctimas a trav\u00e9s de entradas maliciosas de temas de investigaci\u00f3n.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"AlgoNetLab\",\"product\":\"OrcaStatLLM-Researcher\",\"versions\":[{\"version\":\"\u003c= 1\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV40\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"4.0\",\"vectorString\":\"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N/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\",\"baseScore\":5.3,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"attackRequirements\":\"NONE\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"PASSIVE\",\"vulnConfidentialityImpact\":\"NONE\",\"vulnIntegrityImpact\":\"NONE\",\"vulnAvailabilityImpact\":\"NONE\",\"subConfidentialityImpact\":\"LOW\",\"subIntegrityImpact\":\"LOW\",\"subAvailabilityImpact\":\"NONE\",\"exploitMaturity\":\"NOT_DEFINED\",\"confidentialityRequirement\":\"NOT_DEFINED\",\"integrityRequirement\":\"NOT_DEFINED\",\"availabilityRequirement\":\"NOT_DEFINED\",\"modifiedAttackVector\":\"NOT_DEFINED\",\"modifiedAttackComplexity\":\"NOT_DEFINED\",\"modifiedAttackRequirements\":\"NOT_DEFINED\",\"modifiedPrivilegesRequired\":\"NOT_DEFINED\",\"modifiedUserInteraction\":\"NOT_DEFINED\",\"modifiedVulnConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedVulnIntegrityImpact\":\"NOT_DEFINED\",\"modifiedVulnAvailabilityImpact\":\"NOT_DEFINED\",\"modifiedSubConfidentialityImpact\":\"NOT_DEFINED\",\"modifiedSubIntegrityImpact\":\"NOT_DEFINED\",\"modifiedSubAvailabilityImpact\":\"NOT_DEFINED\",\"Safety\":\"NOT_DEFINED\",\"Automatable\":\"NOT_DEFINED\",\"Recovery\":\"NOT_DEFINED\",\"valueDensity\":\"NOT_DEFINED\",\"vulnerabilityResponseEffort\":\"NOT_DEFINED\",\"providerUrgency\":\"NOT_DEFINED\"}}],\"cvssMetricV31\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N\",\"baseScore\":5.4,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"REQUIRED\",\"scope\":\"CHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"LOW\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":2.3,\"impactScore\":2.7}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2026-02-06T18:04:37.342672Z\",\"id\":\"CVE-2026-24903\",\"options\":[{\"exploitation\":\"poc\"},{\"automatable\":\"yes\"},{\"technicalImpact\":\"partial\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-79\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:algonet:orcastatllm_researcher:1:*:*:*:*:*:*:*\",\"matchCriteriaId\":\"B038E281-0FF6-46C2-9F63-3BC74B2DF112\"}]}]}],\"references\":[{\"url\":\"https://github.com/AlgoNetLab/OrcaStatLLM-Researcher/security/advisories/GHSA-47wv-g894-82m4\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Exploit\",\"Vendor Advisory\"]}]}}",
    "redhat_vex": {
      "current_release_date": "2026-02-07T19:30:56+00:00",
      "cve": "CVE-2026-24903",
      "id": "CVE-2026-24903",
      "initial_release_date": "2026-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "OrcaStatLLM Researcher Stored Cross-Site Scripting (XSS) via Log Message Injection in Session Page",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-24903.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2026-24903\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"poc\"}, {\"Automatable\": \"yes\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2026-02-06T18:04:37.342672Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2026-02-06T18:04:51.364Z\"}}], \"cna\": {\"title\": \"OrcaStatLLM Researcher Stored Cross-Site Scripting (XSS) via Log Message Injection in Session Page\", \"source\": {\"advisory\": \"GHSA-47wv-g894-82m4\", \"discovery\": \"UNKNOWN\"}, \"metrics\": [{\"cvssV4_0\": {\"version\": \"4.0\", \"baseScore\": 5.3, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"MEDIUM\", \"vectorString\": \"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N\", \"userInteraction\": \"PASSIVE\", \"attackComplexity\": \"LOW\", \"attackRequirements\": \"NONE\", \"privilegesRequired\": \"NONE\", \"subIntegrityImpact\": \"LOW\", \"vulnIntegrityImpact\": \"NONE\", \"subAvailabilityImpact\": \"NONE\", \"vulnAvailabilityImpact\": \"NONE\", \"subConfidentialityImpact\": \"LOW\", \"vulnConfidentialityImpact\": \"NONE\"}}], \"affected\": [{\"vendor\": \"AlgoNetLab\", \"product\": \"OrcaStatLLM-Researcher\", \"versions\": [{\"status\": \"affected\", \"version\": \"\u003c= 1\"}]}], \"references\": [{\"url\": \"https://github.com/AlgoNetLab/OrcaStatLLM-Researcher/security/advisories/GHSA-47wv-g894-82m4\", \"name\": \"https://github.com/AlgoNetLab/OrcaStatLLM-Researcher/security/advisories/GHSA-47wv-g894-82m4\", \"tags\": [\"x_refsource_CONFIRM\"]}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"OrcaStatLLM Researcher is an LLM Based Research Paper Generator. A Stored Cross-Site Scripting (XSS) vulnerability was discovered in the  Log Message in the Session Page in OrcaStatLLM-Researcher that allows attackers to inject and execute arbitrary JavaScript code in victims\u0027 browsers through malicious research topic inputs.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-79\", \"description\": \"CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2026-02-06T17:46:20.755Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2026-24903\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-02-06T18:05:02.550Z\", \"dateReserved\": \"2026-01-27T19:35:20.530Z\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"datePublished\": \"2026-02-06T17:46:20.755Z\", \"assignerShortName\": \"GitHub_M\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.