Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…


DLLs & TLS Callbacks, (Fri, Dec 19th)

0
Medium
Vulnerability
Published: Fri Dec 19 2025 (12/19/2025, 10:55:26 UTC)
Source: SANS ISC Handlers Diary

Description

Xavier&&#x23&#x3b;x26&#x3b;&#x23&#x3b;39&#x3b;s diary entry "Abusing DLLs EntryPoint for the Fun" inspired me to do some tests with TLS Callbacks and DLLs.

AI-Powered Analysis

AILast updated: 01/03/2026, 00:22:51 UTC

Technical Analysis

TLS callbacks are a Windows PE file feature that allows code execution at the very start of a process or thread initialization, before the usual entry points like DllMain are called. This mechanism is implemented via the IMAGE_TLS_DIRECTORY in the PE header, which specifies TLS data and callback functions. Didier Stevens' analysis demonstrates that DLLs can include TLS callbacks that execute code automatically upon DLL load, preceding DllMain execution. This early execution can be leveraged by attackers to run malicious code stealthily, potentially bypassing static analysis tools that focus only on DllMain or exported functions. Dynamic analysis can also miss these callbacks if debuggers are not configured to break or trace TLS callback execution. The technique is legitimate and used for thread-local data initialization but can be abused for stealthy code execution. The article provides example code showing how to implement TLS callbacks in a DLL and highlights the importance of including TLS callback inspection in malware analysis workflows. No specific vulnerable software versions or exploits are reported, and the threat is currently theoretical but plausible. The medium severity rating reflects the potential for stealthy execution and evasion rather than direct exploitation or widespread impact.

Potential Impact

For European organizations, the abuse of TLS callbacks in DLLs could facilitate stealthy malware execution that evades traditional detection methods. This can lead to increased difficulty in identifying malicious DLLs during static and dynamic analysis, potentially allowing attackers to establish persistence or execute payloads early in the process lifecycle. While no direct exploits are known, advanced persistent threat (APT) groups or sophisticated malware authors could adopt this technique to bypass endpoint protection, complicate incident response, and delay detection. The impact is particularly relevant for organizations relying heavily on Windows environments, including critical infrastructure, financial institutions, and government agencies. Early execution of malicious code could compromise confidentiality, integrity, and availability by enabling privilege escalation, code injection, or lateral movement before security controls activate. The stealthy nature of TLS callbacks may also hinder forensic investigations and malware attribution.

Mitigation Recommendations

1. Enhance static analysis tools and malware scanners to detect and analyze TLS callbacks within DLLs, not just DllMain or exported functions. 2. Configure dynamic analysis environments and debuggers to break on or trace TLS callback execution to observe early code behavior. 3. Employ behavioral monitoring to detect unusual DLL loading patterns or unexpected early execution of code. 4. Use application whitelisting and code signing to restrict execution of unauthorized DLLs, including those with TLS callbacks. 5. Educate incident response teams about TLS callbacks as a potential evasion technique to improve detection and investigation capabilities. 6. Regularly update endpoint protection platforms to recognize and flag suspicious TLS callback usage. 7. Conduct threat hunting exercises focused on identifying DLLs with TLS callbacks in critical systems. 8. Implement strict controls on software development and deployment processes to prevent introduction of malicious TLS callbacks in legitimate software.

Need more detailed analysis?Upgrade to Pro Console

Technical Details

Article Source
{"url":"https://isc.sans.edu/diary/rss/32580","fetched":true,"fetchedAt":"2025-12-19T11:09:13.907Z","wordCount":456}

Threat ID: 69453259d11fe727795f70ef

Added to database: 12/19/2025, 11:09:13 AM

Last enriched: 1/3/2026, 12:22:51 AM

Last updated: 2/6/2026, 4:01:14 PM

Views: 77

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats