HPE Analytics and Location Engine up to 5.0.0.0 hard-coded credentials
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.9 | $5k-$25k | 0.31 |
Summary
A vulnerability has been found in HPE Analytics and Location Engine up to 5.0.0.0 and classified as very critical. This affects an unknown function. This manipulation causes hard-coded credentials. This vulnerability is handled as CVE-2026-76708. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability classified as very critical was found in HPE Analytics and Location Engine up to 5.0.0.0. Affected by this vulnerability is an unknown part. The manipulation with an unknown input leads to a hard-coded credentials vulnerability. The CWE definition for the vulnerability is CWE-798. The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
A vulnerability exists in the Analytics and Location Engine (ALE) where the application and underlying operating system use default, hard-coded credentials for several administrative and system accounts. An unauthenticated remote attacker could exploit this vulnerability by attempting to log in using these known default credentials. Successful exploitation could result in an attacker gaining unauthorized access to the application's management interface and the underlying operating system, potentially leading to full system compromise.
It is possible to read the advisory at support.hpe.com. This vulnerability is known as CVE-2026-76708 since 08/19/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 09/22/2026). The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.hpe.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 9.9VulDB Meta Temp Score: 9.9
VulDB Base Score: 10.0
VulDB Temp Score: 10.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (hpe): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Hard-coded credentialsCWE: CWE-798 / CWE-259 / CWE-255
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/19/2026 CVE reserved09/22/2026 Advisory disclosed
09/22/2026 VulDB entry created
09/22/2026 VulDB entry last update
Sources
Vendor: hpe.comAdvisory: support.hpe.com
Status: Not defined
CVE: CVE-2026-76708 (🔒)
GCVE (CVE): GCVE-0-2026-76708
GCVE (VulDB): GCVE-100-408691
Entry
Created: 09/22/2026 21:37Changes: 09/22/2026 21:37 (60)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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