DataBuffLabs DataBuff ai-apm-web up to 0.1.10 login default credentials

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
8.5$0-$5k0.00

Summaryinfo

A vulnerability was found in DataBuffLabs DataBuff ai-apm-web up to 0.1.10. It has been rated as critical. The affected element is an unknown function of the file /webapi/api/v1/auth/login. Performing a manipulation results in default credentials. This vulnerability is cataloged as CVE-2026-111693. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in DataBuffLabs DataBuff ai-apm-web up to 0.1.10. It has been classified as critical. This affects an unknown function of the file /webapi/api/v1/auth/login. The manipulation with an unknown input leads to a default credentials vulnerability. CWE is classifying the issue as CWE-1392. The product uses default credentials (such as passwords or cryptographic keys) for potentially critical functionality. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

DataBuff ai-apm-web through 0.1.10 contains a hard-coded default credentials vulnerability that allows unauthenticated attackers to gain administrator access using the built-in admin/Databuff@123 account. Attackers can POST these credentials to /webapi/api/v1/auth/login to obtain an administrator token and access all protected /webapi routes.

The advisory is shared at hackmd.io. This vulnerability is uniquely identified as CVE-2026-111693 since 10/16/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/16/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 9.8
CNA Vector (VulnCheck): 🔒

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Default credentials
CWE: CWE-1392
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/16/2026 Advisory disclosed
10/16/2026 +0 days CVE reserved
10/16/2026 +0 days VulDB entry created
10/16/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: hackmd.io
Status: Not defined

CVE: CVE-2026-111693 (🔒)
GCVE (CVE): GCVE-0-2026-111693
GCVE (VulDB): GCVE-100-421449

Entryinfo

Created: 10/16/2026 20:46
Changes: 10/16/2026 20:46 (74)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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