Opensift
CVE-2026-27170
HIGH
Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessAuthenticate to OpenSift
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ExploitSubmit malicious URL via ingest feature
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ExecutionTrigger server-side fetch to private network
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ImpactAccess internal resources from host process
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V2 - Validation and Business Logic Input validation, allowlisting
|
| Exploitation Conditions | OpenSift versions 1.1.2-alpha and below with URL ingest functionality enabled. Attacker requires valid login credentials (PR:L). No OPENSIFT_ALLOW_PRIVATE_URLS=true workaround applied. |
| Impact | CVSS 7.1 (HIGH). Attack vector: Network. Complexity: Low. Privileges required: Low. User interaction: None. Exploitable via remote/network. |
| Exploit ScenarioDerived | A remote attacker could exploit this vulnerability to compromise the affected system. |
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Alert meAnalysisAIv1 – Mar 12, 2026
OpenSift versions 1.1.2-alpha and below allow authenticated attackers to abuse the URL ingest feature's overly permissive server-side request functionality to probe or access private and local network resources from the OpenSift host. The vulnerability requires valid credentials but no user interaction, enabling attackers to enumerate or interact with internal infrastructure not otherwise accessible. No patch is currently available, though version 1.1.3-alpha contains a fix.
Earlier versions of this analysis (1)
OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. [CVSS 7.1 HIGH]
RemediationAI
Fixed in version 1.1.3. Restrict network access to the affected service where possible.
Affects your stack
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Technical ContextAI · show details
Classified as CWE-20 (Improper Input Validation). Affects Opensift. OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENS
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
DescriptionGitHub Advisory
OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENSIFT_ALLOW_PRIVATE_URLS=true with caution.
Executive ViewAI
OpenShift installations running version 1.1.2-alpha and below contain a critical URL ingestion vulnerability that could allow attackers to manipulate the system into making unauthorized server-side requests to internal or external targets. Organizations using this AI study tool risk data exfiltration, lateral movement, and compromise of connected systems until remediation is completed.
Disable the URL ingest feature entirely if not critical to operations. Implement Web Application Firewall (WAF) rules to block suspicious URL patterns and monitor for anomalous outbound requests. Enforce network segmentation with egress filtering to restrict OpenShift's outbound connectivity to whitelisted destinations only. Deploy network-based intrusion detection to flag attempts to access internal or reserved IP ranges (169.254.x.x, 10.x.x.x, 172.16-31.x.x, 192.168.x.x). Require multi-factor authentication for any administrative access to the system. Monitor and log all ingest requests and outbound connections from the affected application.
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
Code injection occurs when an application accepts user input and passes it directly into a language interpreter or evaluator without proper sanitization.
Affected Products (CPE)GitHub Advisory
Stored cross-site scripting in OpenSift versions 1.1.2-alpha and below allows authenticated attackers to execute arbitra
OpenShift versions prior to 1.6.3-alpha contain a path traversal vulnerability in multiple storage helpers that fail to
OpenSift versions prior to 1.6.3-alpha are vulnerable to server-side request forgery (SSRF) attacks through the URL inge
OpenShift versions 1.1.2-alpha and below suffer from a race condition in local JSON persistence that allows authenticate
OpenShift versions prior to 1.6.3-alpha leak sensitive information through multiple vectors, including raw exception str
NVD
CVE.org
EPSS
GitHub
Exploit-DB