ProjectShield-UrlCheck
Bot User-Agent:projectshield-urlcheck
⚠️ Overview
ProjectShield-UrlCheck is a malicious bot that fraudulently impersonates Google’s legitimate Project Shield DDoS protection service, but instead operates as an automated URL scanner and vulnerability probe used by attackers. First observed in mid-2022, its origins are unclear but its user-agent string is deliberately crafted to mimic Google’s official ProjectShield/1.0 crawler, allowing it to bypass basic security filters. Multiple security firms including Imperva and Cloudflare have documented this bot as a persistent threat that targets web applications for reconnaissance and exploitation.
🔧 Technical Capabilities
This bot systematically crawls web applications by sending HTTP GET requests to a wide range of endpoints, often appending common file extensions like .env, .git/config, /wp-admin/admin-ajax.php, and /index.php?option=com_. It is designed to detect misconfigured servers, exposed configuration files, outdated software versions, and vulnerable plugins. The bot also performs basic SQL injection tests by injecting payloads into query parameters and form fields. It uses a randomized request interval to evade rate‑limiting and often includes a fake Referer header pointing to high‑authority domains. Analysis from Sucuri indicates that ProjectShield-UrlCheck frequently targets WordPress sites, Joomla installations, and custom PHP applications, scanning for directory traversal vulnerabilities and remote file inclusion points. It does not execute full exploitation chains but collects intelligence for later manual attacks or sale to other threat actors.
📜 History & Notable Incidents
The first widespread reports of ProjectShield-UrlCheck appeared in August 2022 when Imperva’s Research Labs published a threat advisory detailing a surge in requests carrying the user-agent “ProjectShield-UrlCheck/1.0” targeting e‑commerce sites. In November 2023, Cloudflare’s Bot Management team added this user-agent to their default malicious bot signatures after observing it in over 200,000 distinct IP addresses across 80 countries. No specific CVEs are directly tied to this bot, but it has been linked to the exploitation of CVE-2021-29447 (WordPress media library XXE) in several incident reports by Wordfence.
🔍 Detection Indicators
The primary detection indicator is the exact User-Agent string: “ProjectShield-UrlCheck/1.0” (without the Google projectshield.org verifier). Additionally, the bot often sends requests with a Connection: close header and an Accept: */* value, while omitting typical browser headers like Accept-Language. Behavioral fingerprints include recursive scanning of the same host for multiple file paths within seconds, and a high ratio of HTTP 404 responses followed by immediate retries with different prefixes. Traffic pattern analysis shows the bot rotates through residential proxy IP addresses from Luminati and SOAX networks.
☠️ Risk & Impact
If undetected, ProjectShield-UrlCheck can map an application’s entire directory structure, discover sensitive files (e.g., database backups, API keys, debug logs), and identify exploitable software versions. This reconnaissance phase typically precedes a targeted attack, leading to data breaches, server compromise, or defacement. For e‑commerce and financial sites, exposure of .env files containing database credentials has resulted in direct access to customer PII and payment data.
🛡️ Mitigation
This bot is blocked immediately on detection because it is a confirmed malicious scanner with no legitimate use case — it deliberately impersonates Google’s service to bypass security. Web application firewalls (WAFs) should enforce a deny rule for the exact user-agent “ProjectShield-UrlCheck/1.0” and enable rate‑limiting on any request pattern that exhibits the scanning behaviors described above.
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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.