Security readout for executives and security teams
Plain-English summary
kotaemon through version 0.12.0 can allow an unauthenticated remote attacker to run code by sending malicious structured data to its connection-checking endpoint. Successful exploitation could expose data, alter application content, or disrupt service using the permissions of the kotaemon process.
Executive priority
Act immediately on internet-facing or sensitive deployments. Contain endpoint exposure now, investigate for compromise, and follow vendor guidance as soon as a supported fix is identified. Internal-only deployments remain urgent because exploitation requires neither credentials nor user interaction.
Technical view
The check_connection endpoint reportedly accepts YAML or JSON containing a controllable __type__ field. Insecure deserialization permits arbitrary Python class instantiation, including invocation of subprocess functionality with attacker-controlled arguments. The flaw is remotely reachable, requires no authentication or user interaction, and is classified as CWE-502 with CVSS 3.1 score 9.8.
Likely exposure
Deployments running kotaemon 0.12.0 or earlier are potentially affected when the check_connection endpoint is reachable by untrusted users. Internet exposure creates the greatest risk, but internal access may still permit exploitation by compromised systems or unauthorized users. The process account's permissions determine the resulting impact.
Exploitation context
Public sources describe a workable remote-code-execution technique, but the supplied record is not in CISA KEV and provides no evidence of active exploitation in the wild. Treat public technical disclosure as increasing near-term risk without claiming confirmed attacks.
Researcher notes
The supplied evidence identifies the vulnerable endpoint, attacker-controlled __type__ behavior, and application-level code execution. It does not establish a fixed version, official mitigation, exploitation prevalence, or CISA KEV status. Validation should remain non-destructive and focus on version, reachability, controls, and compromise indicators.
Mitigation direction
- Identify and prioritize all kotaemon deployments running version 0.12.0 or earlier.
- Restrict the check_connection endpoint to trusted networks or disable external access pending remediation.
- Reduce kotaemon process privileges and limit filesystem, network, and secret access.
- Check Cinnamon's current guidance for a fixed release or supported mitigation before upgrading.
- After vendor guidance is confirmed, apply the recommended update or mitigation promptly.
Validation and detection
- Confirm deployed kotaemon versions and whether check_connection is reachable without authentication.
- Review routing, proxy, firewall, and application controls protecting the affected endpoint.
- Inspect logs for unusual unauthenticated requests to check_connection and unexpected child processes.
- Check affected hosts for unexplained commands, outbound connections, file changes, or credential access.
- Verify remediation by confirming the endpoint no longer accepts unsafe type-controlled deserialization.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-502: Code execution behavior lookup
Code execution and unsafe deserialization weaknesses often justify reviewing execution behavior and process telemetry. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupExecution behavior lookup
The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2026-69098 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- Critical
- CVSS
- 9.8 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
SSVC decision data
CVSS vector scores
2 official scoresWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H3.95.9VulnCheckCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N——VulnCheckVulnerability scoring details
Base CVSS 4.0 score
9.3CriticalVector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Base CVSS 3.1 score
9.8CriticalVector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Vulnerability timeline
Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.
- CVE reservedCVE Program
The CVE ID was reserved by the assigning CNA.
- CVE publishedCVE Program
The CVE record was published.
- CVE updatedCVE Program
The CVE record metadata indicates this as the latest update time.
ADP provider summaries
Source materials
- CVE List V5 sourceCVE List V5
- Researcher DisclosureCVE reference, VulnCheck · technical-description, exploit
- https://www.vulncheck.com/advisories/kotaemon-unauthenticated-remote-code-execution-via-insecure-deserializationCVE reference, VulnCheck · third-party-advisory
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Deserialization of Untrusted Data
Deserialization of Untrusted Data represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.