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Vulnerability Database/CVE-2026-68777

CVE-2026-68777: SQL Server Information Disclosure Flaw

CVE-2026-68777 is an out-of-bounds read vulnerability in SQL Server that enables authorized attackers to disclose sensitive information over a network. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2026-68777 Overview

CVE-2026-68777 is an out-of-bounds read vulnerability in Microsoft SQL Server. An authenticated attacker can exploit the flaw over a network to disclose sensitive information from process memory. The vulnerability is tracked under CWE-125 (Out-of-bounds Read) and affects the confidentiality of data processed by the database engine.

Microsoft published the advisory through the Microsoft Security Update Guide. Exploitation requires low-privileged authenticated access, and no user interaction is needed. Successful exploitation does not affect data integrity or availability but can expose memory contents to the attacker.

Critical Impact

Authenticated attackers can read out-of-bounds memory from a SQL Server instance across the network, potentially exposing sensitive query data, credentials, or cached secrets.

Affected Products

  • Microsoft SQL Server (refer to the Microsoft Security Update Guide for the exact versions and builds)

Discovery Timeline

  • 2026-09-08 - CVE-2026-68777 published to NVD
  • 2026-09-08 - Last updated in NVD database

Technical Details for CVE-2026-68777

Vulnerability Analysis

The vulnerability is an out-of-bounds read within SQL Server's request processing path. When the server parses a crafted network request, it reads memory outside the bounds of an allocated buffer. The extra bytes are then returned to, or otherwise observable by, the authenticated client.

Because the flaw only impacts confidentiality, an attacker cannot modify data or crash the service through this issue alone. However, memory disclosure primitives are frequently paired with other flaws to bypass address space layout randomization (ASLR) or extract secrets held in server memory. Cached authentication tokens, connection metadata, and residual query buffers are typical targets.

Root Cause

The root cause is missing or insufficient bounds checking on an input-controlled length or offset value used during buffer access. This class of defect, categorized as CWE-125, occurs when code trusts attacker-influenced size fields without validating them against the actual allocation. Microsoft has not published detailed root-cause information beyond the advisory.

Attack Vector

Exploitation requires network access to the SQL Server Tabular Data Stream (TDS) endpoint and a valid low-privileged database login. The attacker issues a specially crafted request that triggers the out-of-bounds read. The server responds with data that includes memory contents beyond the intended buffer.

No end-user interaction is required, and the attack complexity is low. Internet-exposed SQL Server instances and multi-tenant databases with weak account segmentation are the highest-risk deployments.

No public proof-of-concept exploit is available at publication, and the vulnerability is not listed in the CISA Known Exploited Vulnerabilities catalog. Refer to the Microsoft Security Update Guide for authoritative technical details.

Detection Methods for CVE-2026-68777

Indicators of Compromise

  • Unusual volumes of malformed or oversized TDS requests originating from a single authenticated principal.
  • Repeated SQL Server error log entries referencing protocol parsing failures or unexpected packet sizes.
  • Outbound data flows to unfamiliar destinations following authenticated database sessions from low-privileged accounts.

Detection Strategies

  • Enable SQL Server Audit for successful logins and query patterns from application service accounts to establish a baseline for anomaly identification.
  • Deploy network monitoring on TCP/1433 and named-instance ports to inspect for anomalous TDS packet structures and length fields.
  • Correlate authentication events with query rate spikes to detect low-privileged accounts exhibiting reconnaissance behavior.

Monitoring Recommendations

  • Forward SQL Server error logs, extended events, and Windows Security logs to a centralized analytics platform for retention and correlation.
  • Alert on new or dormant low-privileged database logins that begin issuing large numbers of parametrized or malformed queries.
  • Track EPSS movement for CVE-2026-68777 to reassess urgency as exploit availability changes.

How to Mitigate CVE-2026-68777

Immediate Actions Required

  • Apply the SQL Server security update referenced in the Microsoft Security Update Guide after validating in a test environment.
  • Inventory all SQL Server instances, including containerized and cloud-hosted deployments, and prioritize internet-exposed hosts.
  • Rotate credentials and secrets that may have been present in server memory if compromise is suspected.

Patch Information

Microsoft has published fix guidance through the Security Update Guide. Administrators should identify the affected build for each SQL Server instance and install the corresponding cumulative update or general distribution release. Confirm the patch level after installation using SELECT @@VERSION and Microsoft's version-to-build mapping.

Workarounds

  • Restrict network access to SQL Server ports so that only application servers and administrative jump hosts can connect.
  • Enforce least-privilege on database logins and remove unused or legacy accounts to reduce the pool of principals able to trigger the flaw.
  • Require TLS for client-server communication to reduce passive collection of any disclosed data on the wire.
bash
# Example: restrict inbound SQL Server traffic to a trusted subnet on Windows
New-NetFirewallRule -DisplayName "Restrict SQL Server 1433" `
  -Direction Inbound -Protocol TCP -LocalPort 1433 `
  -RemoteAddress 10.20.30.0/24 -Action Allow

New-NetFirewallRule -DisplayName "Block SQL Server 1433 (default)" `
  -Direction Inbound -Protocol TCP -LocalPort 1433 -Action Block

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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