⚠️ Overview

binlar is an automated web vulnerability scanner first observed in 2015, developed by an anonymous threat actor and distributed through underground hacking forums and leaked code repositories. It is classified as a malicious bot because it conducts aggressive, unauthenticated probing of web applications without permission, targeting common security weaknesses.

🔧 Technical Capabilities

binlar performs a wide range of automated attacks including SQL injection testing by injecting payloads like 1' OR '1'='1 and ' UNION SELECT into URL parameters, then analyzing server responses for database error messages. It also scans for cross-site scripting (XSS) by inserting and checking if the payload is reflected unfiltered. Directory traversal attempts use sequences like ../../../etc/passwd to read sensitive files. The tool sends requests with distinct User-Agent strings such as binlar, binlar/2.0, or Mozilla/5.0 (compatible; binlar/2.0; +http://binlar.com). It operates by rapidly firing probes to known vulnerable paths like /wp-admin/admin-ajax.php and /cgi-bin/, ignoring robots.txt directives. binlar does not maintain session state or handle cookies, making its traffic pattern highly repetitive and easily distinguishable from legitimate browsing.

📜 History & Notable Incidents

binlar was first documented in 2015 by security researchers tracking a wave of scans targeting e-commerce platforms running outdated versions of Magento and WordPress. In 2016, it was implicated in a coordinated attack against multiple UK financial institutions that used the scanner to identify vulnerable endpoints before deploying exploits for CVE-2017-5638 (Apache Struts) and CVE-2018-7600 (Drupalgeddon2). The tool's source code was briefly hosted on GitHub but was removed due to policy violations; archived copies remain on Pastebin and other code-sharing sites.

🔍 Detection Indicators

The primary indicator is the presence of the string binlar in the User-Agent header, though some variants randomize this field. Behavioral fingerprints include a high request rate (often exceeding 100 requests per minute), a high ratio of 404 and 403 responses, and the absence of common HTTP headers like Accept-Language, Referer, and Connection. The tool also sends malformed URIs and SQL keywords in query strings, triggering web application firewall (WAF) alerts.

☠️ Risk & Impact

Successful exploitation via binlar can lead to data breaches exposing customer databases, administrative credentials, and sensitive configuration files. It has been used as a reconnaissance tool before ransomware deployment, enabling attackers to map out vulnerable assets. In worst-case scenarios, full server compromise and lateral movement within a network have been reported.

🛡️ Mitigation

binlar is blocked immediately on detection because its automated scanning consumes server resources, exploits known vulnerabilities, and provides threat actors with a risk-free method to probe defenses. WAF rules should be configured to drop requests with User-Agent containing binlar and to rate-limit IPs exhibiting the described traffic patterns.

ⓘ 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.