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CVE-2019-0193 is a critical remote code execution vulnerability in Apache Solr's DataImportHandler (DIH) module. The vulnerability arises because the DIH configuration can be supplied via the 'dataConfig' request parameter, which may contain executable scripts. This allows an attacker to inject arbitrary code through crafted requests, leading to code execution on the Solr server. The vulnerability affects Solr versions up to 7.7.3 and 8.1.0–8.1.1, and is present when DIH is enabled and accessible. No authentication is required to exploit the flaw in default configurations.
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2 valid exploits after Mallory filtered fakes, detection scripts, and README-only repos.
This repository contains a Python exploit script (CVE-2019-0193.py) and a README for CVE-2019-0193, a remote code execution vulnerability in Apache Solr's DataImport Handler (affecting versions prior to 8.2.0). The exploit works by enumerating available Solr cores via the admin API, then sending a specially crafted data import request containing a malicious <dataConfig> XML. This XML includes a <script> block that executes arbitrary system commands on the server using Java's Runtime.exec(). The script takes two arguments: the target Solr base URL and the command to execute. The README provides usage instructions, example payloads, and references. The main attack vector is network-based, targeting the Solr admin HTTP interface. The endpoints used are all under the /solr/ path, specifically targeting the admin/cores and dataimport handlers. The exploit is operational, providing real RCE if the target is vulnerable and accessible.
This repository provides detailed proof-of-concept (POC) exploits for Apache Solr remote code execution vulnerabilities, specifically targeting CVE-2019-0193. The repository contains two main markdown files: one describing RCE via the Velocity template mechanism, and another (README.md) outlining two exploit methods using Solr's DataImportHandler with either URLDataSource or ContentStreamDataSource. The exploits work by sending crafted HTTP requests to the Solr admin and dataimport endpoints, enabling dangerous configuration options and injecting Java code that executes arbitrary system commands on the server. The output of these commands is returned in the HTTP response, providing clear evidence of successful exploitation. The included XML file (demo.xml) serves as a benign data source for the URLDataSource method. The repository is structured as documentation and POC scripts, with no standalone executable code, but provides all necessary payloads and request formats for manual or automated exploitation. The attack vector is network-based, requiring HTTP access to the Solr admin and dataimport endpoints. Multiple fingerprintable endpoints are documented, including those for checking vulnerable modules and triggering the exploit. The repository is a high-quality resource for security researchers and penetration testers to verify and exploit this class of Solr vulnerabilities.
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