CVE-2026-110474 (GCVE-0-2026-110474)

Vulnerability from cvelistv5 – Published: 2026-10-26 12:08 – Updated: 2026-10-26 12:24
VLAI
Title
Hardcoded API Key Vulnerability in CreditNirvana Agentic AI Call Centre application
Summary
This vulnerability exists in the CreditNirvana Agentic AI Call Centre application due to hardcoded static API Key in the client side JavaScript bundle. An unauthenticated remote attacker could exploit this vulnerability by downloading client side JavaScript files and extracting API key, which could lead to make arbitrary API calls to retrieve call transcripts and recordings through the application API of the targeted system.
CWE
  • CWE-321 - Use of hard-coded cryptographic key
Assigner
CERT-In CNA under the mitre root
CNA scorecard B 89/100 over 19 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
CreditNirvana Agentic AI Call Centre Affected: All versions prior to 2.0.0
    cpe:2.3:a:creditnirvana:agentic_ai_call_centre:all_versions_prior_to_2.0.0:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

{
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "Agentic AI Call Centre",
          "vendor": "CreditNirvana",
          "versions": [
            {
              "status": "affected",
              "version": "All versions prior to 2.0.0"
            }
          ]
        }
      ],
      "cpeApplicability": [
        {
          "nodes": [
            {
              "cpeMatch": [
                {
                  "criteria": "cpe:2.3:a:creditnirvana:agentic_ai_call_centre:all_versions_prior_to_2.0.0:*:*:*:*:*:*:*",
                  "vulnerable": true
                }
              ],
              "negate": false,
              "operator": "OR"
            }
          ],
          "operator": "OR"
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "This vulnerability is reported by Eaton Zveare."
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "This vulnerability exists in the CreditNirvana Agentic AI Call Centre application due to hardcoded static API Key in the client side JavaScript bundle. An unauthenticated remote attacker could exploit this vulnerability by downloading client side JavaScript files and extracting API key, which could lead to make arbitrary API calls to retrieve call transcripts and recordings through the application API of the targeted system."
            }
          ],
          "value": "This vulnerability exists in the CreditNirvana Agentic AI Call Centre application due to hardcoded static API Key in the client side JavaScript bundle. An unauthenticated remote attacker could exploit this vulnerability by downloading client side JavaScript files and extracting API key, which could lead to make arbitrary API calls to retrieve call transcripts and recordings through the application API of the targeted system."
        }
      ],
      "impacts": [
        {
          "capecId": "CAPEC-191",
          "descriptions": [
            {
              "lang": "en",
              "value": "CAPEC-191 Read Sensitive Constants Within an Executable"
            }
          ]
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "NETWORK",
            "baseScore": 8.7,
            "baseSeverity": "HIGH",
            "exploitMaturity": "NOT_DEFINED",
            "privilegesRequired": "NONE",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "NONE",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "NONE",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-321",
              "description": "CWE-321 Use of hard-coded cryptographic key",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-26T12:24:07.042Z",
        "orgId": "66834db9-ab24-42b4-be80-296b2e40335c",
        "shortName": "CERT-In"
      },
      "references": [
        {
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://www.cert-in.org.in/s2cMainServlet?pageid=PUBVLNOTES01\u0026VLCODE=CIVN-2026-0523"
        }
      ],
      "solutions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "Upgrade\u0026nbsp;CreditNirvana Agentic AI Call Centre\u0026nbsp;to latest version 2.0.0\u003cbr\u003e\u003cbr\u003e"
            }
          ],
          "value": "Upgrade\u00a0CreditNirvana Agentic AI Call Centre\u00a0to latest version 2.0.0"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Hardcoded API Key Vulnerability in CreditNirvana Agentic AI Call Centre application",
      "x_generator": {
        "engine": "Vulnogram 1.0.5"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "66834db9-ab24-42b4-be80-296b2e40335c",
    "assignerShortName": "CERT-In",
    "cveId": "CVE-2026-110474",
    "datePublished": "2026-10-26T12:08:43.439Z",
    "dateReserved": "2026-10-14T07:43:11.707Z",
    "dateUpdated": "2026-10-26T12:24:07.042Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-110474",
      "date": "2026-10-29",
      "epss": "0.00371",
      "percentile": "0.3101"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "defaultStatus": "unaffected",
                "product": "Agentic AI Call Centre",
                "vendor": "CreditNirvana",
                "versions": [
                  {
                    "status": "affected",
                    "version": "All versions prior to 2.0.0"
                  }
                ]
              }
            ],
            "source": "vdisclose@cert-in.org.in"
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "This vulnerability exists in the CreditNirvana Agentic AI Call Centre application due to hardcoded static API Key in the client side JavaScript bundle. An unauthenticated remote attacker could exploit this vulnerability by downloading client side JavaScript files and extracting API key, which could lead to make arbitrary API calls to retrieve call transcripts and recordings through the application API of the targeted system."
          }
        ],
        "id": "CVE-2026-110474",
        "lastModified": "2026-10-26T14:21:33.887",
        "metrics": {
          "cvssMetricV40": [
            {
              "cvssData": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "LOW",
                "attackRequirements": "NONE",
                "attackVector": "NETWORK",
                "availabilityRequirement": "NOT_DEFINED",
                "baseScore": 8.7,
                "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": "NONE",
                "subConfidentialityImpact": "NONE",
                "subIntegrityImpact": "NONE",
                "userInteraction": "NONE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/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",
                "version": "4.0",
                "vulnAvailabilityImpact": "NONE",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "NONE",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "source": "vdisclose@cert-in.org.in",
              "type": "Secondary"
            }
          ]
        },
        "published": "2026-10-26T14:16:26.127",
        "references": [
          {
            "source": "vdisclose@cert-in.org.in",
            "url": "https://www.cert-in.org.in/s2cMainServlet?pageid=PUBVLNOTES01\u0026VLCODE=CIVN-2026-0523"
          }
        ],
        "sourceIdentifier": "vdisclose@cert-in.org.in",
        "vulnStatus": "Deferred",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-321"
              }
            ],
            "source": "vdisclose@cert-in.org.in",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

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.

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

JSON
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    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.