Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessAuthenticate with low-privilege account
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ExploitSend crafted HTTP request to Analytics Server
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ExecutionBypass data access controls
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ImpactRead unauthorized data subset
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V14 - Data Protection Data exposure prevention
MITRE ATT&CK
2 techniques across 2 tactics: Collection, Discovery The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires an attacker to already hold a low-privilege authenticated account on the targeted Oracle Business Intelligence Enterprise Edition instance (PR:L) and network reachability to the Analytics Server component over HTTP. Affected deployments are versions 8.2.0.0.0 and 26.01.0.0.0. No special non-default configuration is named in the description and no user interaction is required (UI:N), but the authentication requirement is the key limiting factor: an unauthenticated external attacker cannot exploit this, and impact is capped at read access to a subset of data (no write or service-disruption capability). |
| Impact | This is a moderate-to-low real-world priority despite being network-accessible. The CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N) scores 4.3 (Medium) and tells a consistent story: an attacker needs only low privileges (PR:L - a valid, authenticated low-level account on the Oracle BI EE instance) and HTTP network access, with low complexity and no user interaction, but the payoff is limited to unauthorized read access to a subset of accessible data (C:L, with no integrity or availability impact). No EPSS score was provided in the input, so exploitation probability cannot be quantified. There is no CISA KEV listing and no public exploit was identified at time of analysis, so there is no public exploit identified at time of analysis. The practical ceiling on this flaw is information disclosure of a partial dataset by an already-authenticated user - not code execution, not full data compromise, and not an unauthenticated breach. One signal conflict to note: the input Tags include 'Authentication Bypass,' but the CVSS vector and description explicitly require a low-privileged (already authenticated) attacker (PR:L), which directly contradicts an authentication-bypass characterization - verify the tag against Oracle's advisory. Overall this reads as a genuine but low-severity confidentiality issue appropriate for routine patching during Oracle's quarterly cycle rather than emergency response. |
| Exploit ScenarioDerived | A user holding a low-privilege account on an Oracle Business Intelligence Enterprise Edition instance sends crafted HTTP requests to the Analytics Server component to read a subset of data they should not be able to access. Low attack complexity and no required user interaction make the request repeatable, but the attacker must already be authenticated, and the impact is confined to reading a limited data subset. No public proof-of-concept exploit was identified in the provided data. |
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Alert meAnalysisAIv1 – Oct 20, 2026
Authenticated low-privileged users can read a subset of Oracle Business Intelligence Enterprise Edition data they are not authorized to see in versions 8.2.0.0.0 and 26.01.0.0.0, through the Analytics Server component exposed over HTTP. The flaw is easily triggered once an attacker holds any valid low-privilege account (CVSS 3.1: AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N, base 4.3), and it grants no write, integrity, or availability impact. There is no public exploit identified at time of analysis and the issue is not listed in CISA KEV, so real-world priority is moderate-to-low and driven mainly by the population of low-privilege accounts on internet- or partner-reachable BI deployments.
RemediationAI
Apply the Oracle Critical Patch Update for October 2026 (https://www.oracle.com/security-alerts/cpuoct2026.html), which is the vendor-released advisory covering this defect; patched build numbers are not specified in the available data, so confirm the fixed 8.2.0.0.0 and 26.01.0.0.0 bundle versions against the advisory before closing the finding. Where patching must be staged, treat the authentication requirement as the primary compensating control: audit and prune low-privilege accounts, enforce least privilege and strong authentication on all BI users, and remove dormant or shared accounts, accepting that this reduces but does not eliminate exposure from legitimate users. Restrict network reachability to the Analytics Server HTTP interface using a reverse proxy or WAF with authenticated-user allowlists, or place the BI tier behind VPN/zero-trust access, at the cost of breaking direct client and mobile access until exceptions are defined. Tighten logging and alerting on anomalous catalog and report retrieval patterns by low-privilege users to catch attempted over-reads, though this is detective only and generates additional log volume.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
The affected component is the Analytics Server inside Oracle Business Intelligence Enterprise Edition, an enterprise BI platform whose presentation and analytics services are exposed over HTTP. The defect is an access-control weakness in the server's handling of requests from authenticated sessions: a user holding a low-privileged account can request objects or data sets beyond their intended authorization scope, resulting in read-only disclosure of a limited subset of BI content. No CWE identifier was assigned in the available data, but the observable behavior maps to the incorrect-authorization / improper-access-control class (CWE-863 and related exposure issues), where the server fails to enforce object-level permission checks rather than failing to authenticate the caller. The CVSS vector confirms the exploit path is network-based (AV:N), requires no user interaction (UI:N), and stays within the same security authority (S:U), with only confidentiality affected at low severity (C:L) - meaning the exposure is bounded and does not extend to modification or denial of service. Oracle's October 2026 Critical Patch Update advisory is the coordinating disclosure reference.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
Remote over HTTP (AV:N), low complexity (AC:L), requires an existing low-privilege account (PR:L), no user interaction; impact is limited partial data read only (C:L, I:N, A:N).
Primary rating from Vendor (oracle).
CVSS VectorVendor: oracle
DescriptionCVE.org
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 low privileged attacker with network access via HTTP to compromise Oracle Business Intelligence Enterprise Edition. Successful attacks of this vulnerability can result in unauthorized read access to a subset of Oracle Business Intelligence Enterprise Edition accessible data. CVSS 3.1 Base Score 4.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N).
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
EUVD-2026-106800
GHSA-mj4r-3mc5-2jx9
NVD
CVE.org
EPSS
Exploit-DB