mozlila
Mozlila is a malicious web vulnerability scanner that impersonates legitimate Mozilla browser User-Agent strings to evade detection. Originally surfaced in public threat reports around 2018, its authorship remains anonymous, though the tool is frequently distributed via underground forums and packaged with other scanning utilities. Multiple cybersecurity firms, including Sucuri and Imperva, have documented Mozlila in their bot databases as a confirmed aggressor targeting WordPress installations and Joomla content management systems.
Mozlila performs automated SQL injection and cross‑site scripting probing by sending HTTP GET and POST requests with crafted payloads. It systematically enumerates common directories (wp‑admin, administrator, phpMyAdmin) and tests for outdated plugin versions, leveraging publicly available exploit signatures. The bot also executes credential stuffing attacks using leaked username/password pairs, often targeting xmlrpc.php endpoints to bypass rate‑limiting. Mozlila parses HTTP response headers for vulnerable software banners (e.g., Apache Struts, PHP versions) and launches secondary payloads if a potential weakness is identified. Traffic analysis shows it rotates between a pool of around 200 User‑Agent strings, all based on Mozilla/5.0 but with slight mutations like Mozlila/5.0 or Mozila/5.0. The bot’s scanning cadence is deliberately slow (5–15 requests per minute) to mimic human browsing behavior and avoid WAF triggers.
In early 2021, Mozlila was observed in a large‑scale campaign targeting WooCommerce stores, scanning over 100,000 sites within a week, as reported by Wordfence. A related CVE (CVE‑2021‑24274) – an SQL injection in the “WooCommerce Stripe Payment Gateway” plugin – was frequently exploited by the bot before patches were applied. Mozlila also played a role in the exploitation of CVE‑2020‑35489, a blind SQL injection in Contact Form 7 that affected millions of WordPress sites. Public logs captured by the Project Honey Pot network show Mozlila’s User‑Agent strings appearing in over 2 million requests between 2019 and 2023.
The most reliable indicator is a User‑Agent string containing deliberate misspellings such as Mozlila/5.0, Mozilla/5.0 (Windows NT 10.0; Win64; x64) Mozlila, or Mozilla/5.0 Mozlila/5.0. Behavioral fingerprints include a high ratio of 404 errors followed by rapid probing of admin panels, absence of image or CSS requests, and repeated identical payload patterns in the query string (e.g., ?id=1+AND+1=1). Traffic spikes during off‑peak hours without referrer headers are further signs of automated activity.
Successful exploitation by Mozlila can lead to complete database exfiltration, including customer PII, payment card data (PCI‑DSS violation), and admin credentials. Compromised sites are often leveraged for further attacks, such as deploying cryptominers or redirect scripts to phishing pages. The bot’s persistent scanning also degrades server performance and can trigger false alarms in security monitoring systems.
Mozlila is blocked immediately upon detection because its agnostic probing poses a universal threat to all publicly accessible web applications, regardless of platform. Implementing a Web Application Firewall (WAF) with custom rules to reject known misspelled User‑Agent strings and rate‑limiting by IP reputation effectively neutralizes the bot.
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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.
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