Segment 1: HiddenMerit Morning Post · Issue 99

Focus on Database Frontiers, Practical Insights for DBAs September 8, 2026 ｜ 5 Selected Global Breaking News

01｜PostgreSQL Anonymizer Exposes Privilege Escalation Vulnerability: Table Owner Can Execute Arbitrary Code as Superuser

The PostgreSQL Anonymizer extension has been found to have a privilege escalation vulnerability (CVE-2026-83534) in the anon.anonymize_database_parallel() function, allowing a table owner to run arbitrary code with superuser privileges. The issue has been fixed in PostgreSQL Anonymizer 3.2.0 and above.

DBA Perspective: PostgreSQL Anonymizer is a widely used data masking tool, and its parallel anonymization function has a privilege isolation flaw. DBAs using this extension should immediately check their versions and upgrade to 3.2.0 or higher. If an immediate upgrade is not possible, temporarily disable the feature by setting anon.static_masking = FALSE as a mitigation measure.

📌 HiddenMerit In‑Depth Preview: Today’s in‑depth article – “From PostGREShell to Anonymizer Privilege Escalation: Why Is PostgreSQL Experiencing a Surge in Permission Vulnerabilities?” – will examine the security concerns in the PostgreSQL extension ecosystem and DBA response strategies.

02｜Domestic Database Tops Asia‑Pacific: OceanBase Ranks First in Omdia Distributed Database Market with 15.5% Share

Global technology research and advisory firm Omdia has released its “2026 Asia‑Pacific & Oceania Distributed Database Market Study.” By 2025 revenue, OceanBase ranked first in the Asia‑Pacific distributed database market with a 15.5% market share, ahead of Google Cloud Spanner, Tencent Cloud TDSQL, Huawei Cloud GaussDB, and Alibaba Cloud PolarDB‑X.

Key Data: The Asia‑Pacific distributed database market reached $900 million in 2025 and is projected to grow to $1.8 billion by 2029, with a five‑year compound annual growth rate of 19.3%. OceanBase currently serves over 4,000 customers globally, covering 16 countries and regions, 60+ regions, and 240+ availability zones.

Customer Validation: GCash (the Philippines’ national‑level wallet) supports millions of transactions per second after migration, with resource costs reduced by 40% ; TNG Digital achieved zero downtime under extreme scenarios of 40,000 transactions per second. In August 2026, Banque pour le Commerce Extérieur Lao Public (BCEL) signed a memorandum of understanding with OceanBase to introduce distributed database technology for core banking infrastructure upgrades.

DBA Perspective: OceanBase topping the Asia‑Pacific rankings marks the first time a domestic database has topped a regional ranking from a third‑party international research firm. For DBAs, the scope of OceanBase skills is expanding from “domestic Xinchuang projects” to “overseas projects.” When a domestic database can simultaneously meet the data compliance and business requirements of different countries – the Philippines, Malaysia, Indonesia – its technology stack’s versatility and maturity have been validated multiple times.

03｜Dameng All‑in‑One Performance Test: Slow SQL Scenarios Improved by Tens of Times, Response Latency Reduced by 50%

At the DTCC 2026 conference, Zhu Honglei, General Manager of Dameng All‑in‑One Product Line, provided a detailed introduction to the latest achievements of the DAMENG PAI Database All‑in‑One. Through deep hardware‑software integration, the all‑in‑one achieves breakthroughs in three dimensions – extreme storage foundation, compute offloading, and full‑stack acceleration – delivering a 50% reduction in response latency and multi‑fold to tens‑of‑fold improvements in slow SQL scenarios.

Core Technology: Dameng embeds compute engines within storage nodes, giving storage itself computational capability – the database can tell storage “what kind of data I need,” and storage completes filtering, selection, aggregation, and other compute tasks locally, dramatically improving efficiency. Three‑tiered storage balances performance and cost, and for the AI intelligent computing era, the DM9 multi‑modal kernel enables unified multi‑modal data processing.

DBA Perspective: Dameng’s “compute offloading” technology is an important exploration in database architecture moving from “storage‑compute separation” to “storage‑compute integration.” For DBAs, the boundaries of tuning are expanding from “database parameters” to full‑stack coordination of “storage + network + compute.” The all‑in‑one delivery model also lowers the barrier to database deployment and tuning.

04｜KingbaseES V9 Financial Core Real‑World Test: TPS Up 35%, Response Latency Down 28%

In a real‑world Xinchuang migration test of a city commercial bank’s core system, CETC Kingware’s KingbaseES V9 delivered significant performance improvements over the original architecture under the same hardware environment: core transaction TPS up 35% , batch report queries up 42% , high‑concurrency connections up 35% , and average response latency down 28% .

The test was based on real business workloads with TB‑level historical data and hundreds of GB of daily incremental data, validated through full‑chain stress testing. Through row‑group filtering technology for column‑oriented tables, the database can intelligently identify query filter conditions and only read relevant column‑store storage units, significantly improving disk read efficiency.

DBA Perspective: Kingware’s test data provides quantitative evidence that “replacement ≠ performance compromise” in financial Xinchuang selection. For DBAs, real‑world performance data from similar scenarios is more valuable than vendor benchmark scores when making Xinchuang selection arguments.

05｜MongoDB BI Connector Integer Overflow Vulnerability (CVE-2026-19001): Remote Code Execution Possible

The MongoDB BI Connector ODBC Driver has been found to have an integer overflow vulnerability (CVE-2026-19001), affecting versions 1.0.0 through 1.4.9 (excluding). Unauthenticated remote attackers can cause buffer overflow by passing overly long name parameters, leading to memory corruption and program termination, with potential arbitrary code execution.

Remediation: Upgrade to MongoDB BI Connector ODBC Driver 1.4.9 or higher.

DBA Perspective: The BI Connector is the data channel between MongoDB and BI tools, often holding high‑privilege database connections. DBAs using MongoDB BI Connector should check versions and upgrade promptly to prevent attackers from breaching the database through the BI tool side.

💡 SQL Little Knowledge Point

This Issue’s Knowledge Point: What is “Compute Offloading”?

Dameng all‑in‑one’s “compute offloading” technology pushes compute capability down to storage nodes – a core practice of the “storage‑compute integration” architecture.

Dimension	Traditional Storage‑Compute Separation	Compute Offloading (Storage‑Compute Integration)
Compute Location	Database server	Inside storage node
Data Path	Data transferred over network to compute node	Compute completed locally in storage
Typical Scenarios	Cloud‑native databases	All‑in‑one machines
Performance Advantage	Independent scaling	Extremely low latency, high throughput

Dameng’s practice: embedding compute engines in storage nodes – the database tells storage “what kind of data I need,” and storage completes filtering, selection, aggregation, and other compute tasks locally, with results returned directly to the database, significantly reducing data movement.

HiddenMerit Team Production Slogan: 绩优隐于内，金石启新程 | Hidden deep. Merit bold. Forge ahead.

Segment 2: HiddenMerit In‑Depth · Issue 12

Focus on Database Frontiers, In‑Depth Analysis September 8, 2026 ｜ 1 In‑Depth Feature Article

From PostGREShell to Anonymizer Privilege Escalation: Why Is PostgreSQL Experiencing a Surge in Permission Vulnerabilities?

1. Two Security Advisories in One Week

In early September, the PostgreSQL security community was far from quiet.

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First, security firm Cyera disclosed the 12‑year‑old PostGREShell vulnerability (CVE-2026-6471) – a low‑privilege REPLICATION account could load malicious code through logical replication plugin paths, fully compromising the database server.

Just days later, the PostgreSQL Anonymizer extension was found to have a privilege escalation vulnerability (CVE-2026-83534) – a table owner could run arbitrary code with superuser privileges via the anon.anonymize_database_parallel() function.

Both vulnerabilities belong to the PostgreSQL ecosystem and are both “permission boundary failure” types, but their attack paths are entirely different.

PostGREShell: Starting from a low‑privilege REPLICATION account, injecting a malicious shared library through the replication protocol path, breaking through to superuser.
Anonymizer Privilege Escalation: Starting from a table owner, exploiting the parallel execution context of the anonymization function to run arbitrary code with superuser privileges.

The former’s breakthrough point is in the protocol layer; the latter’s is in the extension layer. Together, they point to a deeper issue: the PostgreSQL ecosystem’s permission model is facing unprecedented challenges.

2. Two “Boundary Failures” in PostgreSQL’s Permission Model

Boundary 1: Protocol Layer Assumption Failure

PostgreSQL began supporting logical replication from version 9.4. The replication protocol was designed on the assumption that accounts with the REPLICATION attribute are only used for backup and data synchronisation, do not touch business data, and therefore permission restrictions could be relaxed.

But after 12 years, this assumption has been proven wrong.

The CREATE_REPLICATION_SLOT command allows users to specify an output plugin name. PostgreSQL directly calls dlopen() when loading the plugin, with no path validation whatsoever. In contrast, the SQL LOAD command has strict check_restricted_library_name() validation – the replication path has none. This validation function has never been called from the replication path.

Boundary 2: Extension Layer Assumption Failure

PostgreSQL Anonymizer’s anon.anonymize_database_parallel() function was designed on the assumption that table owners would only anonymise their own data, not execute malicious code through the anonymization function.

But the vulnerability proves that table owners can construct tables containing malicious expressions, using the parallel anonymization’s superuser execution context to trigger arbitrary code execution. The anonymization tool becomes a privilege escalation tool.

3. Attack Path Comparison

Dimension	PostGREShell (CVE-2026-6471)	Anonymizer Privilege Escalation (CVE-2026-83534)
Attack Starting Point	`REPLICATION` account (low privilege)	Table owner
Attack Path	Replication protocol → dlopen() malicious .so → code execution	Anonymization function → superuser context → code execution
Core Flaw	Replication path bypasses path validation	Anonymization function lacks privilege isolation
Attack Result	Superuser privileges + persistent backdoor	Superuser privileges
Duration	12 years (2014‑present)	Unknown, fixed in 3.2.0

4. Implications for DBAs

Lesson 1: Permission design cannot rely solely on “assumptions”

A PostgreSQL developer once said in a 2005 mailing list post: “Users with REPLICATION privileges shouldn’t be allowed to abuse it because they are trusted.” This assumption was overturned 12 years later. DBAs need to understand: security design cannot be built on the assumption that “users won’t abuse permissions.”

Lesson 2: The extension ecosystem is a new attack surface

PostgreSQL’s open‑source ecosystem is renowned for its rich extensions – pgvector, PostGIS, TimescaleDB, Anonymizer… These extensions have greatly enriched PostgreSQL’s capabilities, but they also introduce new security risks. The Anonymizer privilege escalation vulnerability shows that extension quality and security auditing levels vary widely, and DBAs now need to consider more security factors when choosing extensions.

Lesson 3: Permission auditing needs finer granularity

The PostGREShell vulnerability exposed a fact – REPLICATION privileges are widely granted to backup tools and CDC pipelines in practice, but these accounts are often not “high‑trust” accounts. DBAs are advised to:

Review all accounts with the REPLICATION attribute and revoke this privilege from unnecessary accounts
Conduct security assessments of PostgreSQL extensions, focusing on whether extension functions execute in superuser contexts
Establish a “least privilege” baseline, requiring approval for any permissions beyond CONNECT and SELECT

5. PostgreSQL Security Ecosystem at a Crossroads

The continuous disclosure of PostgreSQL permission vulnerabilities does not mean PostgreSQL is insecure. On the contrary, the public disclosure and rapid patching demonstrate the open‑source community’s security response capability.

But these vulnerabilities also point to a fact: PostgreSQL is growing from a “database kernel” into a “database platform,” and the growth of the extension ecosystem and protocol complexity is continuously expanding the attack surface.

For DBAs, this means:

Database management is no longer just about “managing the kernel,” but also “managing extensions”
Permission auditing needs to extend from “kernel roles” to “extension functions”
Security baselines need to cover both the “protocol layer” and the “extension layer”

PostgreSQL remains a benchmark for open‑source databases, but the security boundaries are being redrawn. The DBA’s role needs to evolve in parallel.