Comparison of WordPress and Drupal security: Which is more reliable

📅 2026-11-01 👁️ 0

Which CMS, WordPress or Drupal, is safer, and cannot be answered by impression, but should look at the public security records, patch processes, and ecosystem risk profiles of the two projects over the years. From the perspective of core data, neither of them is considered a 'vulnerability大户', what really determines the daily security level is the quantity and scale of third-party plugins and themes, the response speed of the maintenance party, and the operation and maintenance discipline of the site itself.

Core vulnerability data: quantity and scope

Sorted the security records of two projects by RTCamp, WordPress disclosed about 14 core vulnerabilities between 2023 and 2025; at the same time, Drupal released 22 security bulletins, of which 5 bulletins dealt with issues that were officially marked as not directly exploitable. Looking at the number of bulletins alone, it is easy to come to the false conclusion that 'Drupal is more dangerous', in fact, the two teams have different release habits for bulletins: Drupal publishes bulletins even for deep problems that are difficult to exploit directly, while the WordPress core is relatively conservative.

Comparison dimensions WordPress Drupal How to choose
Core vulnerabilities/announcements (2023 to 2025) About 14 disclosed vulnerabilities 22 security announcements, 5 not directly exploitable Different scopes, don't just compare the total
Distribution of severity Most are medium risk Most are medium risk Percentage of high-risk items to be concerned about
Risk concentration point Large plugin and theme ecosystem The core integration is high, the modules also have incremental risks The number of third parties determines the exposure surface
Fix channel Mature automatic update mechanism The security team releases patches according to the公告 rhythm See if it can be patched in time

The distribution of severity is more important than the total

In the records on both sides, high-risk cases are少数, the vast majority of items stay in medium-risk. When evaluating your own risks, it is recommended to pay attention to only two types: one is the authentication bypass or remote code execution that can be triggered without authorization, and the other is the injection-type problems that can be exploited without background permissions. The statistics of quantity are an industry observation, whether or not to patch the patch on the day of the announcement is the actual safety line of the site.

The third-party ecosystem is the real risk surface

The WordPress plugin market is much larger than the Drupal module library, and the probability of being attacked also increases with the number of installations; although Drupal has a higher core integration and a lower proportion of dependence on third-party extensions, its modules also release independent security bulletins. Regardless of which side you choose, the more you install, the greater the risk surface, which is a common rule. The control methods are also common: clean up unused extensions, only keep plugins supported by active maintainers, and set change audit for extensions.

The security design philosophy of Drupal

Drupal has long been known for its strict security modeling, with a fine-grained permission system and content access control built into the core. The security team has a fixed pace of announcement disclosure (SA-CORE numbering system). The cost of this mechanism is a steep learning curve and high development costs, and small and medium-sized teams often need dedicated maintainers.

Enterprise-level selection evaluation list

  • Check the recent announcements on both sides to confirm whether the high-risk items are related to your deployment form;
  • Count the number of third-party extensions, estimate the monthly patch workload;
  • Confirm whether you can enable automatic or semi-automatic updates, the median exploitation window is often counted in hours;
  • Check the three basic defense lines of authentication, injection, and cross-site scripting to avoid treating platform security as site security.

By the way, if you don't want to rely on the platform not having many accidents for security, you can also choose to integrate the protection into the CMS of the system itself. For example, AnQiCMS is developed in Go language, with built-in JWT authentication, and has built-in defenses against SQL injection and XSS attacks, treating security as a core design goal rather than a patch item.

Common questions

Are there more vulnerabilities in WordPress than in Drupal?The core level is almost the same in magnitude (about 14 to 22, different in diameter), and most are medium-risk; the incremental increase in the plugin layer is the main source of risk for WordPress.

Can Drupal rest easy?No. It also continues to publish security bulletins, but the proportion of 'non-directly exploitable' announcements is higher, and the public perception is lower.

How should small and medium-sized teams choose?If there is no dedicated maintainer, either option requires reducing the number of plugins and updating discipline; if the long-term maintenance costs are taken into account, a lightweight CMS with a significantly lower memory usage than PHP-based systems is also an option.

What is the relationship between platform security and site security?The platform determines the basic defense line, and the site determines the configuration water level: weak passwords, directory permissions, missing backups, no platform can save it.

Related articles

Frequent security vulnerabilities in CMS systems, how can enterprises respond to large-scale attacks?

The public announcement of the security agency shows that large-scale exploitation activities targeting content management systems simultaneously cover multiple mainstream platforms and their extended components, with attack vectors concentrated in unauthorized file upload and remote code execution. Enterprises should not wait for a list of vulnerabilities, but rather establish a fixed process of patching windows, trusted backups, and residual cleaning: first apply the patches, then recover from known trusted backups, and finally replace the content and addresses that may have been tampered with on the site.

2026-11-01

How to do GEO optimization? AI search engine reference guide for 2026

GEO optimization in 2026 focuses on five actions: allowing AI crawlers to access pages, organizing the text into extractable paragraphs, covering sub-questions that users might split out, providing verifiable data and quotes, and maintaining the content update time. The corresponding settings on the site are four types: crawling rules, checklist files, keyword criteria, and release time, rather than rewriting the entire content.

2026-11-01

How to deal with the separation of traffic and visibility in content strategy in 2026

The data in 2026 puts one thing on the table: the content seen and accessed is becoming two curves - AI overview relevance corresponds to an average click-through rate decrease of 58%, zero-click search accounts for about 60%, and the visit volume of generative AI platforms has increased by 70% year-on-year. This article explains where the separation occurs, how to rebuild the measurement criteria using the two indicators of citations and clicks, and provides three directions for adjusting the content strategy.

2026-10-26

How GEO optimization can make AI search engines reference your content

The goal of GEO optimization is to make content a part of AI-generated answers, not just ranked on the results page. The approach can be broken down into four layers: mapping questions to thematic clusters, rewriting key pages in a self-contained paragraph-by-paragraph manner, supporting conclusions with verifiable facts and limiting conditions, and then using documentation files like llms.txt to reduce reading costs. This article provides executable steps and explains how to determine if citations have really occurred.

2026-10-26

Comparison of mainstream CMS platforms and their pricing in 2026

When choosing a CMS in 2026, you cannot just look at whether the software is free. The core programs of WordPress, Drupal, and Joomla are all free, with differences concentrated in hosting and security costs: WordPress common hosting is about 20 to 400 US dollars per month, Drupal is about 100 to 2000 US dollars or more, and Joomla can use general hosting. This article compares from three dimensions of pricing models, features, and maintenance costs, and gives selection ideas.

2026-11-01

Automatic generation of Sitemap and Baidu active push for accelerated inclusion

To speed up the inclusion of new content, the search engine needs to receive messages from both sides at the same time: the sitemap provides the full address and update time, and the active push delivers the new address to Baidu and Bing at the moment of article publication. This article explains how AnQiCMS automatically generates Sitemap, how to connect to Baidu and Bing active push, and the methods of push frequency, status code check, and inclusion effect tracking.

2026-11-01

How to optimize GEO to make AI search refer to your content? The latest 2026 practical guide

GEO optimization should make the content searchable by AI, which is different from SEO: AI will break down the questions into sub-queries for separate retrieval and then assemble the answers, so the paragraphs should be able to stand alone as answers. This article provides the 2026 practical path: use lists and data to enhance visibility, control content timeliness, complete llms.txt and site map, use active push to speed up indexing, and attach a pre-launch checklist.

2026-11-01

Where is the difference in server costs between Go language CMS and PHP CMS, compared by actual memory usage.

The server cost difference between Go Language CMS and PHP CMS mainly lies in the resident memory and concurrency model. Public memory references from externally hosted systems show that Node.js systems generally start at 500MB, while PHP scales with the process pool size; AnQiCMS officially states that memory usage is about 80% lower than that of PHP systems, and can handle about 5 million PV per machine. This article analyzes the cost structure and provides a reproducible self-test method.

2026-11-01