Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessGain on-path network position
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DeliveryIntercept client-server TLS handshake
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ExploitPresent fraudulent certificate accepted due to improper validation
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ExecutionDecrypt and modify chatbot traffic
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ImpactHarvest credentials or tamper with data
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A07:2025 - Authentication Failures
ASVS 5.0
V12 - Secure Communication Certificate validation
|
| Exploitation Conditions | Exploitation requires the attacker to hold an Adversary-in-the-Middle position on the network path between clients and the Sef AI Chatbot Platform (versions before 2.1) - the improper certificate validation only becomes exploitable once traffic can be intercepted, which is why CVSS rates AC:H. No authentication is required (PR:N) and no user interaction (UI:N), but the on-path prerequisite is the primary limiting factor: attacks are feasible on untrusted/shared networks, compromised gateways, or malicious transit infrastructure, and are not possible against a passive remote attacker with no interception capability. No special product configuration is noted in the advisory as a precondition. |
| Impact | This is an improper certificate validation flaw (CWE-295) enabling Adversary-in-the-Middle attacks. The provided CVSS 3.1 vector (AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N, 7.4 High) tells a consistent story: network-reachable and unauthenticated (PR:N), but with high attack complexity (AC:H) because the attacker must first achieve a privileged network position to intercept traffic - the defining prerequisite of any AiTM attack. Impact is high for both confidentiality and integrity (C:H/I:H) since intercepted TLS sessions can be read and modified, with no availability impact (A:N). No EPSS score, KEV listing, or POC was supplied in the intelligence set, so there is no public exploit identified at time of analysis and no evidence of active exploitation. The practical risk is therefore moderate and conditional rather than urgent: the AC:H complexity and the need for an on-path position substantially limit mass exploitation, making this more suited to targeted scenarios (hostile networks, compromised infrastructure) than opportunistic internet-wide attacks. Note the 'Information Disclosure' tag understates the issue - the I:H integrity impact means traffic tampering, not just eavesdropping. |
| Exploit ScenarioDerived | An attacker positioned on the network path between a user and the Sef AI Chatbot Platform (e.g., on shared Wi-Fi, a compromised router, or hostile transit infrastructure) presents a fraudulent certificate that the platform fails to properly validate. Because validation is improper, the AiTM session is accepted, letting the attacker silently decrypt, read, and alter chatbot traffic including any credentials or sensitive data in transit. No public exploit code was identified in the provided data, and the high attack complexity reflects the need to first establish the on-path position. |
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Alert meAnalysisAIv1 – Oct 02, 2026
Improper certificate validation (CWE-295) in HAVELSAN's Sef AI Chatbot Platform before version 2.1 lets an attacker sitting on the network path between client and server impersonate the server in an Adversary-in-the-Middle attack. The flaw is not remotely reachable by a passive attacker: it only becomes exploitable once the adversary already holds an on-path position (untrusted Wi-Fi, shared network, compromised gateway or malicious transit infrastructure), which is why CVSS rates it AC:H despite PR:N and UI:N. Successful interception yields high confidentiality and integrity impact - chat content, credentials and session material traversing the TLS channel can be read or manipulated - with no availability impact; no public exploit code has been identified and the issue is not listed as confirmed actively exploited (CISA KEV), giving an assessed score of 7.4.
RemediationAI
Upgrade the Sef AI Chatbot Platform to version 2.1 or later, which is the release that closes the affected "before 2.1" range; coordinate the upgrade with the vendor where the deployment is managed or hosted, and follow the TR-CERT bulletin TR-26-1241 (https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-1241) for vendor-supplied guidance. Until the upgrade can be applied, the practical compensating control is to remove the attacker's opportunity rather than patch the validation logic: confine all traffic to the platform to trusted, controlled network segments - site-to-site VPN, private WAN or zero-trust tunnels - and forbid access from public or shared Wi-Fi, guest VLANs and untrusted transit networks, since the flaw is only exploitable from an on-path vantage point. Where clients or proxies must traverse untrusted links, pin the expected server certificate or public key and enforce strict trust anchors at the client or reverse-proxy layer; the trade-off is that certificate rotation then requires coordinated client updates and misconfiguration will cause hard connection failures. Additionally, monitor for anomalous TLS terminations or unexpected certificate chains for the platform's hostnames, restrict management/API endpoints to internal networks, and rotate any credentials or session tokens that may have traversed an untrusted path before remediation.
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 vulnerability is an instance of CWE-295, Improper Certificate Validation, in the Sef AI Chatbot Platform, a conversational AI product from Turkish vendor HAVELSAN designed to be reached by clients over the network. In a correctly implemented TLS client or server, the peer certificate chain must be validated against a trusted root, checked for hostname/SAN match, and checked for expiry and revocation; when one or more of these steps is skipped or performed incorrectly, an attacker who can intercept the connection can present a self-signed or otherwise untrusted certificate and terminate TLS on both sides, silently proxying the session. The accompanying CVSS vector CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N describes exactly this profile: network vector, high attack complexity reflecting the prerequisite of an AiTM position, no privileges and no user interaction required, unchanged scope, and high confidentiality and integrity loss without availability impact. The CPE cpe:2.3:a:havelsan_inc.:sef_-_ai_chatbot_platform:*:*:*:*:*:*:*:* with the "before 2.1" constraint covers all deployments of the platform prior to the 2.1 release; because the weakness is in certificate handling, it applies to any interface that relies on TLS trust - client, API and administrative channels alike. The vendor advisory is published by TR-CERT under reference TR-26-1241.
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Severity by source
AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
AV:N and PR:N since the flaw is reachable without auth, AC:H because a prior on-path AiTM position is required; C:H/I:H for decryptable, tamperable traffic and A:N as availability is unaffected.
Primary rating from Vendor (TR-CERT).
CVSS VectorVendor: TR-CERT
Lifecycle Timeline
2DescriptionCVE.org
Improper certificate validation vulnerability in HAVELSAN Inc. Sef - AI Chatbot Platform allows Adversary in the Middle (AiTM).
This issue affects Sef - AI Chatbot Platform: before 2.1.
Executive ViewAI
Organizations running HAVELSAN Sef AI Chatbot Platform before version 2.1 face a high-severity adversary-in-the-middle risk when employees or customers connect over untrusted networks, because the product fails to properly validate server certificates. An attacker already positioned on the network path could read or alter chat content, credentials, and session data, creating confidentiality, integrity, and compliance exposure even though the attack is not remotely exploitable by a passive outsider and no public exploit has been identified. Leadership should treat this as a trust and data-protection issue for any deployment accessible outside tightly controlled network paths.
No vendor-released patch identified at time of analysis; interim mitigations include restricting the platform to trusted networks or VPN/zero-trust access, avoiding untrusted Wi-Fi and shared networks, enforcing network segmentation and 802.1X, limiting access to managed devices, monitoring for AiTM/TLS anomalies, and using mutual TLS or application-layer encryption where supported.
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.
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