CVE-2026-62353 in TDengineinfo

Summary

by MITRE • 07/15/2026

TDengine is a time-series database optimized for Internet of Things devices. Prior to 3.4.1.14, source/libs/parser/src/parTokenizer.c tGetToken() incremented past a trailing backslash in a SQL string literal such as 'abc\ and read one byte beyond the null terminator, allowing an authenticated user who can submit SQL queries to crash the server and possibly leak adjacent memory. This issue is fixed in version 3.4.1.14.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Analysis

by VulDB Data Team • 07/15/2026

The vulnerability identified in TDengine versions prior to 3.4.1.14 represents a critical buffer overflow condition within the SQL parser component that could lead to remote code execution or denial of service scenarios. The flaw exists in the source/libs/parser/src/parTokenizer.c file within the tGetToken() function where improper handling of backslash escape sequences creates a memory access violation. When processing SQL string literals containing trailing backslashes such as 'abc\, the parser incorrectly advances the token pointer beyond the intended boundaries of the string literal, effectively reading one byte past the null terminator that marks the end of the string.

This memory corruption vulnerability stems from inadequate bounds checking during lexical analysis of SQL queries, specifically when encountering escape sequences in string literals. The technical implementation flaw allows an authenticated user with SQL query submission privileges to craft malicious input that triggers the buffer overflow condition. The issue manifests as undefined behavior when the parser attempts to read beyond allocated memory boundaries, potentially causing the database server process to crash or exhibit unpredictable behavior. The vulnerability's impact extends beyond simple denial of service since adjacent memory contents may be leaked during the overflow, potentially exposing sensitive information such as credentials, internal memory structures, or other confidential data.

From a cybersecurity perspective, this vulnerability aligns with CWE-121 Stack-based Buffer Overflow and CWE-787 Out-of-bounds Write categories, representing a classic buffer management failure that can be exploited through input validation bypass techniques. The ATT&CK framework categorizes this as a privilege escalation vector through command injection or application crash conditions, where an authenticated user leverages the parser vulnerability to compromise system stability. The operational impact is significant for IoT deployments that rely on TDengine for time-series data storage, as attackers could disrupt critical infrastructure monitoring systems or potentially extract sensitive information from memory dumps.

The mitigation strategy requires immediate deployment of TDengine version 3.4.1.14 which includes proper bounds checking and corrected token parsing logic. Organizations should also implement additional security controls such as query parameterization, input sanitization, and network segmentation to limit the potential impact of similar vulnerabilities. Regular security assessments of database parser components are essential, particularly in IoT environments where database servers may be exposed to untrusted inputs from numerous connected devices. System administrators should monitor for unusual crash patterns or memory access violations that could indicate exploitation attempts, while also reviewing audit logs for suspicious SQL query submissions that might contain crafted escape sequences designed to trigger buffer overflow conditions.

Responsible

GitHub M

Reservation

07/13/2026

Disclosure

07/15/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

Do you need the next level of professionalism?

Upgrade your account now!