Oracle Business Intelligence Enterprise Edition 8.2.0.0.0/26.01.0.0.0 Analytics Server improper authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $5k-$25k | 0.00 |
Summary
A vulnerability has been found in Oracle Business Intelligence Enterprise Edition 8.2.0.0.0/26.01.0.0.0 and classified as problematic. Affected by this issue is some unknown functionality of the component Analytics Server. Performing a manipulation results in improper authorization. This vulnerability was named CVE-2026-71107. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as problematic has been found in Oracle Business Intelligence Enterprise Edition 8.2.0.0.0/26.01.0.0.0. This affects an unknown part of the component Analytics Server. The manipulation with an unknown input leads to a improper authorization vulnerability. CWE is classifying the issue as CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. This is going to have an impact on confidentiality. The summary by CVE is:
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: Analytics Server). Supported versions that are affected are 8.2.0.0.0 and 26.01.0.0.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Business Intelligence Enterprise Edition. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Business Intelligence Enterprise Edition accessible data. CVSS 3.1 Base Score 7.5 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N).
It is possible to read the advisory at oracle.com. This vulnerability is uniquely identified as CVE-2026-71107 since 08/05/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. 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 08/19/2026). The attack technique deployed by this issue is T1548.002 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
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.oracle.com
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (oracle): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Improper authorizationCWE: CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/05/2026 CVE reserved08/19/2026 Advisory disclosed
08/19/2026 VulDB entry created
08/19/2026 VulDB entry last update
Sources
Vendor: oracle.comAdvisory: oracle.com
Status: Confirmed
CVE: CVE-2026-71107 (🔒)
GCVE (CVE): GCVE-0-2026-71107
GCVE (VulDB): GCVE-100-392283
Entry
Created: 08/19/2026 02:31Changes: 08/19/2026 02:31 (62)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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