CVE-2026-41713 (GCVE-0-2026-41713)

Vulnerability from cvelistv5 – Published: 2026-05-12 10:17 – Updated: 2026-05-12 12:11
VLAI?
Title
Prompt Injection via Memory Poisoning in PromptChatMemoryAdvisor
Summary
A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.
Severity ?
8.2 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N
CWE
  • CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
References
Impacted products
Vendor Product Version
VMware Spring AI Affected: 1.0.0 , < 1.0.7 (oss)
Affected: 1.1.0 , < 1.1.6 (oss)
Create a notification for this product.
Credits
Ahmed Sekka (GitHub: https://github.com/ahmed-sekka )
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-41713",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-12T12:11:07.556751Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-05-12T12:11:27.971Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "Spring AI",
          "vendor": "VMware",
          "versions": [
            {
              "lessThan": "1.0.7",
              "status": "affected",
              "version": "1.0.0",
              "versionType": "oss"
            },
            {
              "lessThan": "1.1.6",
              "status": "affected",
              "version": "1.1.0",
              "versionType": "oss"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "Ahmed Sekka (GitHub: https://github.com/ahmed-sekka )"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eA malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.\u003c/p\u003e"
            }
          ],
          "value": "A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 8.2,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "LOW",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-1336",
              "description": "CWE-1336 Improper Neutralization of Special Elements Used in a Template Engine",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-05-12T10:19:26.231Z",
        "orgId": "dcf2e128-44bd-42ed-91e8-88f912c1401d",
        "shortName": "vmware"
      },
      "references": [
        {
          "url": "https://spring.io/security/cve-2026-41713"
        },
        {
          "url": "https://nvd.nist.gov/vuln-metrics/cvss/v3-calculator?vector=AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N\u0026version=3.1"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Prompt Injection via Memory Poisoning in PromptChatMemoryAdvisor",
      "x_generator": {
        "engine": "Vulnogram 1.0.2"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "dcf2e128-44bd-42ed-91e8-88f912c1401d",
    "assignerShortName": "vmware",
    "cveId": "CVE-2026-41713",
    "datePublished": "2026-05-12T10:17:39.094Z",
    "dateReserved": "2026-04-22T06:21:34.490Z",
    "dateUpdated": "2026-05-12T12:11:27.971Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-41713",
      "date": "2026-05-16",
      "epss": "0.00031",
      "percentile": "0.09091"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2026-41713\",\"sourceIdentifier\":\"security@vmware.com\",\"published\":\"2026-05-12T11:16:19.517\",\"lastModified\":\"2026-05-12T19:25:06.597\",\"vulnStatus\":\"Analyzed\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security@vmware.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N\",\"baseScore\":8.2,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":3.9,\"impactScore\":4.2}]},\"weaknesses\":[{\"source\":\"security@vmware.com\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-1336\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:vmware:spring_ai:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"1.0.0\",\"versionEndExcluding\":\"1.0.7\",\"matchCriteriaId\":\"F3EED561-3D9D-48C8-8AB7-AF0A94F87D31\"},{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:vmware:spring_ai:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"1.1.0\",\"versionEndExcluding\":\"1.1.6\",\"matchCriteriaId\":\"4EFDEFC4-3E15-4C9F-9DEF-0350C37D51FE\"}]}]}],\"references\":[{\"url\":\"https://nvd.nist.gov/vuln-metrics/cvss/v3-calculator?vector=AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N\u0026version=3.1\",\"source\":\"security@vmware.com\",\"tags\":[\"US Government Resource\"]},{\"url\":\"https://spring.io/security/cve-2026-41713\",\"source\":\"security@vmware.com\",\"tags\":[\"Vendor Advisory\"]}]}}",
    "vulnrichment": {
      "containers": "{\"cna\": {\"providerMetadata\": {\"orgId\": \"dcf2e128-44bd-42ed-91e8-88f912c1401d\", \"shortName\": \"vmware\", \"dateUpdated\": \"2026-05-12T10:19:26.231Z\"}, \"title\": \"Prompt Injection via Memory Poisoning in PromptChatMemoryAdvisor\", \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"cweId\": \"CWE-1336\", \"description\": \"CWE-1336 Improper Neutralization of Special Elements Used in a Template Engine\", \"type\": \"CWE\"}]}], \"affected\": [{\"vendor\": \"VMware\", \"product\": \"Spring AI\", \"versions\": [{\"status\": \"affected\", \"version\": \"1.0.0\", \"lessThan\": \"1.0.7\", \"versionType\": \"oss\"}, {\"status\": \"affected\", \"version\": \"1.1.0\", \"lessThan\": \"1.1.6\", \"versionType\": \"oss\"}], \"defaultStatus\": \"unaffected\"}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.\", \"supportingMedia\": [{\"type\": \"text/html\", \"base64\": false, \"value\": \"\u003cp\u003eA malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.\u003c/p\u003e\"}]}], \"references\": [{\"url\": \"https://spring.io/security/cve-2026-41713\"}, {\"url\": \"https://nvd.nist.gov/vuln-metrics/cvss/v3-calculator?vector=AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N\u0026version=3.1\"}], \"metrics\": [{\"format\": \"CVSS\", \"scenarios\": [{\"lang\": \"en\", \"value\": \"GENERAL\"}], \"cvssV3_1\": {\"version\": \"3.1\", \"attackVector\": \"NETWORK\", \"attackComplexity\": \"LOW\", \"privilegesRequired\": \"NONE\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"LOW\", \"integrityImpact\": \"HIGH\", \"availabilityImpact\": \"NONE\", \"baseSeverity\": \"HIGH\", \"baseScore\": 8.2, \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N\"}}], \"credits\": [{\"lang\": \"en\", \"value\": \"Ahmed Sekka (GitHub: https://github.com/ahmed-sekka )\", \"type\": \"finder\"}], \"source\": {\"discovery\": \"UNKNOWN\"}, \"x_generator\": {\"engine\": \"Vulnogram 1.0.2\"}}, \"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2026-41713\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"yes\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2026-05-12T12:11:07.556751Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2026-05-12T12:10:26.103Z\"}}]}",
      "cveMetadata": "{\"cveId\": \"CVE-2026-41713\", \"assignerOrgId\": \"dcf2e128-44bd-42ed-91e8-88f912c1401d\", \"state\": \"PUBLISHED\", \"assignerShortName\": \"vmware\", \"dateReserved\": \"2026-04-22T06:21:34.490Z\", \"datePublished\": \"2026-05-12T10:17:39.094Z\", \"dateUpdated\": \"2026-05-12T12:11:27.971Z\"}",
      "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.