CVE-2024-48141 (GCVE-0-2024-48141)

Vulnerability from cvelistv5 – Published: 2024-10-24 00:00 – Updated: 2024-10-25 18:29
VLAI?
Summary
A prompt injection vulnerability in the chatbox of Zhipu AI CodeGeeX v2.17.0 allows attackers to access and exfiltrate all previous and subsequent chat data between the user and the AI assistant via a crafted message.
Severity ?
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:zhipu_ai:codegeex:*:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "codegeex",
            "vendor": "zhipu_ai",
            "versions": [
              {
                "status": "affected",
                "version": "2.17.0"
              }
            ]
          }
        ],
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "NONE",
              "baseScore": 7.5,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
              "version": "3.1"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2024-48141",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-10-25T18:19:25.302105Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-77",
                "description": "CWE-77 Improper Neutralization of Special Elements used in a Command (\u0027Command Injection\u0027)",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-10-25T18:29:20.156Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A prompt injection vulnerability in the chatbox of Zhipu AI CodeGeeX v2.17.0 allows attackers to access and exfiltrate all previous and subsequent chat data between the user and the AI assistant via a crafted message."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2024-10-24T18:41:35.504Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://marketplace.visualstudio.com/items?itemName=aminer.codegeex"
        },
        {
          "url": "https://github.com/soursec/CVEs/tree/main/CVE-2024-48141"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2024-48141",
    "datePublished": "2024-10-24T00:00:00.000Z",
    "dateReserved": "2024-10-08T00:00:00.000Z",
    "dateUpdated": "2024-10-25T18:29:20.156Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2024-48141",
      "date": "2026-05-19",
      "epss": "0.00236",
      "percentile": "0.46473"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2024-48141\",\"sourceIdentifier\":\"cve@mitre.org\",\"published\":\"2024-10-24T19:15:15.240\",\"lastModified\":\"2024-10-25T19:35:14.257\",\"vulnStatus\":\"Awaiting Analysis\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"A prompt injection vulnerability in the chatbox of Zhipu AI CodeGeeX v2.17.0 allows attackers to access and exfiltrate all previous and subsequent chat data between the user and the AI assistant via a crafted message.\"},{\"lang\":\"es\",\"value\":\"Una vulnerabilidad de inyecci\u00f3n r\u00e1pida en el cuadro de chat de Zhipu AI CodeGeeX v2.17.0 permite a los atacantes acceder y filtrar todos los datos de chat anteriores y posteriores entre el usuario y el asistente de IA a trav\u00e9s de un mensaje manipulado espec\u00edficamente para ello.\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}]},\"weaknesses\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-77\"}]}],\"references\":[{\"url\":\"https://github.com/soursec/CVEs/tree/main/CVE-2024-48141\",\"source\":\"cve@mitre.org\"},{\"url\":\"https://marketplace.visualstudio.com/items?itemName=aminer.codegeex\",\"source\":\"cve@mitre.org\"}]}}",
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 7.5, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"NONE\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"HIGH\"}}, {\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2024-48141\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"poc\"}, {\"Automatable\": \"yes\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2024-10-25T18:19:25.302105Z\"}}}], \"affected\": [{\"cpes\": [\"cpe:2.3:a:zhipu_ai:codegeex:*:*:*:*:*:*:*:*\"], \"vendor\": \"zhipu_ai\", \"product\": \"codegeex\", \"versions\": [{\"status\": \"affected\", \"version\": \"2.17.0\"}], \"defaultStatus\": \"unknown\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-77\", \"description\": \"CWE-77 Improper Neutralization of Special Elements used in a Command (\u0027Command Injection\u0027)\"}]}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2024-10-25T18:29:10.660Z\"}}], \"cna\": {\"affected\": [{\"vendor\": \"n/a\", \"product\": \"n/a\", \"versions\": [{\"status\": \"affected\", \"version\": \"n/a\"}]}], \"references\": [{\"url\": \"https://marketplace.visualstudio.com/items?itemName=aminer.codegeex\"}, {\"url\": \"https://github.com/soursec/CVEs/tree/main/CVE-2024-48141\"}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"A prompt injection vulnerability in the chatbox of Zhipu AI CodeGeeX v2.17.0 allows attackers to access and exfiltrate all previous and subsequent chat data between the user and the AI assistant via a crafted message.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"text\", \"description\": \"n/a\"}]}], \"providerMetadata\": {\"orgId\": \"8254265b-2729-46b6-b9e3-3dfca2d5bfca\", \"shortName\": \"mitre\", \"dateUpdated\": \"2024-10-24T18:41:35.504Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2024-48141\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2024-10-25T18:29:20.156Z\", \"dateReserved\": \"2024-10-08T00:00:00.000Z\", \"assignerOrgId\": \"8254265b-2729-46b6-b9e3-3dfca2d5bfca\", \"datePublished\": \"2024-10-24T00:00:00.000Z\", \"assignerShortName\": \"mitre\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}


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.