Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain low-privilege account access
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DeliverySubmit crafted SQL payload in input field
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ExploitBypass input neutralization (CWE-89)
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ExecutionExecute injected query on backend database
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ImpactExfiltrate or tamper with stored data
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Persistence The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires a valid low-privilege authenticated session on the Sef - AI Chatbot Platform (CVSS PR:L), after which an attacker sends crafted SQL metacharacters through a user-controllable input that reaches a database query without proper neutralization (CWE-89). No user interaction is needed (UI:N) and the attack is network-reachable (AV:N) with low complexity (AC:L). The principal limiting factor is the authentication requirement - an attacker must first possess or acquire platform credentials - and the narrow deployment base of this specific vendor product; the exact vulnerable endpoint/parameter is not disclosed in the available data, and all affected instances must be running a version prior to 2.1. |
| Impact | This is a credible, actionable priority rather than a high-CVSS-but-low-risk issue, though the real-world exposure is bounded by product footprint. The CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N) describes a network-reachable, low-complexity SQL injection requiring only low-level authenticated privileges and no user interaction, with full C:H/I:H/A:H impact - consistent with a classic CWE-89 flaw where an authenticated user can read, modify, or destroy backend database contents. The signals are largely one-directional: the CVSS is high and the attack is easy once a foothold exists. However, several key risk signals are MISSING from the input and must not be assumed present: there is no EPSS score, no CISA KEV listing, and no indication of public POC/exploit code, so there is no evidence of active or widespread exploitation. The report originates from TR-CERT (Turkey's national CERT), which confirms the flaw's existence but does not itself imply in-the-wild use. Net: treat as a genuine high-severity vulnerability warranting prompt patching to version 2.1 for any organization running this platform, but the absence of EPSS/KEV/POC data means the likelihood of opportunistic mass exploitation is unquantified and currently appears lower than the severity alone would suggest. |
| Exploit ScenarioDerived | An attacker who holds or obtains low-privilege authenticated access to the Sef - AI Chatbot Platform (e.g., a standard application account) submits crafted input containing SQL metacharacters into a vulnerable parameter. Because special elements are not neutralized (CWE-89), the injected SQL executes against the backend database, letting the attacker exfiltrate or alter stored data. No public exploit code has been identified at time of analysis, and no user interaction is required. |
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Alert meAnalysisAIv1 – Oct 02, 2026
SQL injection in HAVELSAN's Sef - AI Chatbot Platform, affecting all releases prior to 2.1, lets an attacker who holds a valid low-privilege account feed crafted SQL metacharacters through a user-controllable input that is concatenated into a database query, yielding high confidentiality, integrity, and availability impact (CVSS 8.8, CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H). The issue is network-reachable with low attack complexity and needs no user interaction, but the vector's PR:L means an attacker must first obtain platform credentials; no public exploit code and no confirmed active exploitation were identified at time of analysis, and the TR-CERT advisory (https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-1241) does not disclose the specific vulnerable endpoint or parameter. This is a credible, actionable priority rather than a high-CVSS-but-low-risk issue, though real-world exposure is bounded by the narrow deployment base of this specific vendor product.
RemediationAI
The primary fix is to upgrade Sef - AI Chatbot Platform to version 2.1 or later, which the TR-CERT advisory identifies as the first release outside the affected 'before 2.1' range; confirm the deployed build after upgrading rather than assuming a package refresh completed, and check the advisory at https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-1241 for any vendor-supplied specifics. If the upgrade cannot be staged immediately, use compensating controls that address the PR:L prerequisite and the SQL sink: tighten account issuance and revoke or disable dormant and over-privileged chatbot accounts (effective but disruptive to active users), and run the platform against a least-privilege database account with no DDL, file, or cross-schema rights so an injection cannot be escalated to server-level commands (requires a controlled config change and retesting of application queries). Restrict network access to the platform's authenticated interfaces to trusted management networks or VPN rather than the open internet (reduces reachable surface but breaks external or remote users), and deploy a WAF with tuned SQL-injection rules in front of it as a detection-and-delay layer, accepting that SQLi ruleset bypasses are common, that false positives can break chat traffic, and that a WAF is not a substitute for the code-level fix. Because the vulnerable endpoint and parameter are undisclosed, do not rely on blocking a single known path; instead enable verbose database and application logging, alert on SQL error strings and anomalous query volumes, and rotate the platform's database credentials after any suspected compromise. Development teams should remediate at source by replacing dynamic SQL string concatenation with parameterized statements or stored procedures for every query that consumes chatbot or operator input.
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 root cause is CWE-89, improper neutralization of special elements used in an SQL command: user-supplied input is incorporated into a SQL statement without parameterization or adequate escaping, so an attacker can alter query structure to read, modify, or destroy data or otherwise manipulate the backend database. In an AI chatbot platform such as Sef, the risky surface typically includes conversation/session handlers, knowledge-base or FAQ lookups, message-history retrieval, feedback or logging endpoints, and any administrative search function where chatbot or operator text is turned into dynamic SQL. The CPE entry cpe:2.3:a:havelsan_inc.:sef_-_ai_chatbot_platform:*:*:*:*:*:*:*:* uses a wildcard version, indicating that the advisory did not enumerate individual builds and that every release before 2.1 should be treated as affected. The assessed vector AV:N/AC:L/PR:L/UI:N/S:U means the query can be reached over the network by any authenticated low-privilege user with no victim interaction, and because the scope is unchanged (S:U) the impact is confined to the platform and its database rather than spreading to other security authorities, while C:H/I:H/A:H reflects that a successful injection can fully compromise data confidentiality and integrity. The exact database engine, vulnerable parameter, and required privilege level within the application are not confirmed by the available data, so the injection may be equally reachable from an ordinary chat user or a more privileged console user.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Network-reachable SQL injection needing a low-privilege account (PR:L) but no interaction; low complexity and full database read/write/destroy yield C:H/I:H/A:H.
Primary rating from Vendor (TR-CERT).
CVSS VectorVendor: TR-CERT
Lifecycle Timeline
2DescriptionCVE.org
Improper neutralization of special elements used in an SQL command ('SQL injection') vulnerability in HAVELSAN Inc. Sef - AI Chatbot Platform allows SQL Injection.
This issue affects Sef - AI Chatbot Platform: before 2.1.
Executive ViewAI
HAVELSAN's Sef AI Chatbot Platform, in every release prior to 2.1, carries a SQL injection flaw that an authenticated low-privilege user can reach over the network with no user interaction, exposing the confidentiality, integrity, and availability of the database the chatbot queries. With no vendor patch available, any organization running Sef in a customer-facing or internal service role holds unresolved exposure to whatever data that chatbot account can reach, and credentials rather than network position are the only barrier. Deployment of this specific product is narrow, which limits the blast radius across the industry, but for affected organizations this is a confirmed high-severity defect requiring near-term containment rather than a theoretical concern.
No vendor-released patch identified at time of analysis. Interim mitigations: enforce strict least privilege on the Sef database account, restrict and re-validate all low-privilege accounts, deploy WAF/reverse-proxy virtual patching for SQL injection on chatbot input paths, network-segment the Sef database from other systems, enable database activity monitoring and SQL anomaly alerting, and consider isolating or disabling the affected chatbot function until a fix is confirmed.
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
SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.
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