CVE-2026-110474:CreditNirvana Agentic AI 呼叫中心應用程式硬編碼 API 金鑰漏洞
CVE-2026-110474 - Hardcoded API Key Vulnerability in CreditNirvana Agentic AI Call Centre application
CreditNirvana Agentic AI 呼叫中心 內的硬編碼 API 金鑰可能被未授權遠端攻擊者下載並提取,進而以此金鑰隨意呼叫 API 取得通話紀錄與錄音。
此漏洞使未授權攻擊者可透過靜態 API 金鑰取得通話記錄,提醒使用者加強金鑰管理與存取控制,並可導致資料外洩風險。
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.
Impact
Affected Products
The following products are affected by CVE-2026-110474
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 4.0 | HIGH | 66834db9-ab24-42b4-be80-296b2e40335c | ||||
| CVSS 4.0 | HIGH | [email protected] |
Remove hardcoded API keys and implement secure secret management.
- Remove static API keys from client-side code.
- Use secure secret management solutions.
- Implement API access controls.
- Rotate API keys regularly.
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2026-110474.
| URL | Resource |
|---|---|
| https://www.cert-in.org.in/s2cMainServlet?pageid=PUBVLNOTES01&VLCODE=CIVN-2026-0523 |
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2026-110474 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2026-110474
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2026-110474 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2026-110474 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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New CVE Received by [email protected]
十月. 26, 2026
Action Type Old Value New Value Added Description 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. Added CVSS V4.0 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 Added CWE CWE-321 Added Affected New affected value received. <a href="https://github.com/CVEProject/cvelistV5/blob/main/cves/2026/110xxx/CVE-2026-110474.json">CVE-2026-110474</a> Added Reference https://www.cert-in.org.in/s2cMainServlet?pageid=PUBVLNOTES01&VLCODE=CIVN-2026-0523
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.