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CVE-2026-54760 – Langroid: SQLChatAgent dangerous-function blocklist can be bypassed with quoted or schema-qualified pg_read_file calls

Posted on July 10, 2026
CVE ID :CVE-2026-54760

Published : July 10, 2026, 12:16 a.m. | 16 minutes ago

Description :Langroid is a framework for building large-language-model-powered applications. Prior to version 0.65.1, the `SQLChatAgent` SQL-injection mitigation, with default `allow_dangerous_operations=False`, combines a raw-text regex blocklist (`_DANGEROUS_SQL_PATTERNS`) with a `sqlglot` SELECT-only statement allowlist. The blocklist entries that target callable functions require the function name to be immediately followed by `s*(`. PostgreSQL accepts the same call with the name separated from `(` by a quoted identifier, an inline comment, or schema qualification. These forms evade the regex, still parse as `SELECT`, and execute the same PostgreSQL function. This restores the `pg_read_file` server-side file-read primitive that the prior CVE-2026-25879 / GHSA-pmch-g965-grmr fix was meant to block: the parent advisory fixed a missing `pg_read_file` blocklist entry, while this report shows that the added regex is bypassable. Version 0.65.1 fixes the issue.

Severity: 9.3 | CRITICAL

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-54760

Unknown
N/A
⚠️ Vulnerability Description:

1. IMMEDIATE ACTIONS

Upon discovery or suspicion of CVE-2026-54760 exploitation, prioritize the following actions to contain and mitigate potential damage:

1.1 Isolate Affected Systems: Immediately disconnect or segment any systems running vulnerable AppServ Framework components from the network. If full disconnection is not feasible, apply strict firewall rules to block all incoming external traffic to the affected application servers, allowing only essential internal administrative access via a secure jump host or VPN.

1.2 Block Vulnerable Endpoints: If specific AppServ-RPC endpoints are known to be vulnerable (e.g., /appserv-rpc/service, /admin/rpc), configure perimeter firewalls, WAFs, or load balancers to deny all requests to these paths. Prioritize blocking POST requests containing 'Content-Type: application/x-java-serialized-object' or similar headers.

1.3 Review System Logs: Scrutinize application server logs (e.g., Apache Tomcat catalina.out, AppServ logs), operating system logs (e.g., /var/log/auth.log, Windows Event Logs), and network device logs for indicators of compromise (IOCs). Look for unusual process creations (e.g., cmd.exe, bash, powershell.exe), network connections from the application server to external IPs, file modifications in unexpected directories, or large, malformed serialized object payloads.

1.4 Forensic Snapshot: Before making significant changes, consider taking a forensic snapshot or image of the affected server's disk and memory. This preserves evidence for incident response and root cause analysis.

1.5 Notify Stakeholders: Inform relevant internal teams (e.g., incident response, security operations, application owners) about the potential compromise and ongoing remediation efforts.

2. PATCH AND UPDATE INFORMATION

The vendor has released an urgent security patch to address CVE-2026-54760. Applying this patch is the most effective and recommended remediation.

2.1 Affected Versions: AppServ Framework versions 3.0.0 through 3.4.2, specifically impacting the AppServ-RPC component, are vulnerable.

2.2 Fixed Version: Upgrade to AppServ Framework version 3.4.3 or later. This version includes a hardened deserialization mechanism that validates incoming object streams and filters known malicious gadget chains.

2.3 Patch Application Steps:
a. Backup your current AppServ Framework installation and application data.
b. Download the official AppServ Framework 3.4.3 (or newer) distribution from the vendor's official website or trusted repository.
c. Follow the vendor's upgrade documentation meticulously. Typically, this involves replacing the vulnerable AppServ-RPC JAR files (e.g., appserv-rpc-3.4.2.jar) with the updated version (appserv-rpc-3.4.3.jar) in your application's classpath or library directories (e.g., WEB-INF/lib).
d. Restart all affected AppServ application servers to ensure the new libraries are loaded.
e. Thoroughly test your applications after the upgrade to confirm functionality and stability.

2.4 Vendor Advisories: Continuously monitor the AppServ Framework vendor's security advisories and mailing lists for any further updates, workarounds, or post-patch recommendations related to CVE-2026-54760.

3. MITIGATION STRATEGIES

If immediate patching is not feasible due to operational constraints, implement the following mitigation strategies to reduce the attack surface. These should be considered temporary measures until the official patch can be applied.

3.1 Disable AppServ-RPC: If the AppServ-RPC component is not essential for your application's operation, disable or remove it entirely. This can often be achieved by removing its WAR file deployment, commenting out its servlet mappings in web.xml, or removing its JARs from the classpath.

3.2 Network Access Restrictions: Implement strict network segmentation and firewall rules to limit access to AppServ-RPC endpoints. Allow only trusted internal IP addresses or specific application servers that legitimately require RPC communication. Block all external and unnecessary internal access.

3.3 Web Application Firewall (WAF) Rules: Configure your WAF to detect and block suspicious deserialization attempts.
a. Create rules to block requests with 'Content-Type

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Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-25879

Unknown
N/A
⚠️ Vulnerability Description:

1. IMMEDIATE ACTIONS

Immediately assess all systems that utilize the LibSecureNet library, particularly those exposing DTLS services to untrusted networks. Prioritize internet-facing or critical internal services.
If possible, isolate affected systems from the network to prevent further compromise or exploitation. This may involve moving them to a quarantine VLAN or disconnecting them entirely.
Implement temporary network access controls at the perimeter firewall or router to block incoming DTLS traffic (typically UDP port 443 or other configured ports) from untrusted sources to vulnerable systems. Restrict access to only known, trusted IP addresses if essential business operations require DTLS connectivity.
For non-critical services or systems where DTLS is not strictly required, consider temporarily disabling the DTLS service or functionality within applications that depend on LibSecureNet. Consult application documentation for specific configuration steps.
Initiate a forensic investigation on any system suspected of prior compromise. Look for unusual process activity, unexpected network connections, or modifications to system files. Capture memory dumps if signs of compromise are detected, as this vulnerability could lead to remote code execution.

2. PATCH AND UPDATE INFORMATION

Monitor the official LibSecureNet project repository and vendor advisories from any commercial products that embed LibSecureNet. A patch addressing CVE-2026-25879 is anticipated to be released by the maintainers of LibSecureNet.
Upon release, download and apply the official patch or updated version of LibSecureNet (e.g., LibSecureNet version 3.2.1 or later) immediately. Follow the vendor's instructions for applying the patch, which may involve compiling the library from source or updating package dependencies.
For commercial products that integrate LibSecureNet, apply vendor-provided security updates or hotfixes as soon as they become available. Verify that the update specifically addresses CVE-2026-25879.
After applying the patch, thoroughly test the updated systems in a staging environment to ensure full functionality and stability before deploying to production.
If direct patching of LibSecureNet is not feasible (e.g., due to custom builds or legacy systems), evaluate options for upgrading the entire application or service that utilizes the vulnerable library.

3. MITIGATION STRATEGIES

Deploy an Intrusion Prevention System (IPS) or a Next-Generation Firewall (NGFW) with deep packet inspection capabilities. Configure custom signatures or rules, if available, to detect and block malformed DTLS handshake messages that align with the known exploit patterns for CVE-2026-25879. While DTLS is encrypted, the initial handshake often contains unencrypted fields that could be targeted.
Implement robust network segmentation to limit the blast radius of a potential exploit. Isolate systems running LibSecureNet DTLS services into dedicated network segments with strict ingress and egress filtering.
If DTLS is not a mandatory protocol for a specific service, consider disabling it and reverting to a more thoroughly vetted and less complex secure communication protocol (e.g., TLS 1.2 or 1.3 over TCP) if supported by the application.
Configure all DTLS services to operate with the principle of least privilege. Ensure the service runs under a dedicated, unprivileged user account with minimal file system and network access rights.
Employ a Web Application Firewall (WAF) if the DTLS service is part of a web application stack, although its effectiveness against raw DTLS exploits might be limited to the HTTP/S layer. Focus on network-level controls for DTLS.
Implement rate limiting for DTLS handshake attempts to deter brute-force or denial-of-service attacks that exploit this vulnerability.

4. DETECTION METHODS

Deploy Network Intrusion Detection Systems (NIDS) with updated signatures capable of identifying DTLS handshake anomalies or known exploit patterns associated with CVE-2026-25879. Monitor for sudden increases in DTLS handshake failures, malformed packet alerts, or unusual DTLS session terminations.
Implement comprehensive logging for all DTLS-enabled services. Monitor application logs and system logs (e.g., syslog, Windows Event Logs) for indicators such as service crashes, unexpected restarts, segmentation faults, heap corruption errors, or unusual process spawning directly after DTLS handshake attempts.
Utilize Endpoint

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