<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Smartshop 1 — CraftedSignal Threat Feed</title><link>https://feed.craftedsignal.io/products/smartshop-1/</link><description>Trending threats, MITRE ATT&amp;CK coverage, and detection metadata. Fed continuously.</description><generator>Hugo</generator><language>en</language><managingEditor>hello@craftedsignal.io</managingEditor><webMaster>hello@craftedsignal.io</webMaster><lastBuildDate>Tue, 26 May 2026 13:37:23 +0000</lastBuildDate><atom:link href="https://feed.craftedsignal.io/products/smartshop-1/feed.xml" rel="self" type="application/rss+xml"/><item><title>Smartshop 1 Time-Based Blind SQL Injection Vulnerability (CVE-2018-25342)</title><link>https://feed.craftedsignal.io/briefs/2026-05-smartshop-sqli/</link><pubDate>Tue, 26 May 2026 13:37:23 +0000</pubDate><author>hello@craftedsignal.io</author><guid isPermaLink="true">https://feed.craftedsignal.io/briefs/2026-05-smartshop-sqli/</guid><description>Smartshop 1 is vulnerable to time-based blind SQL injection via the 'searched' parameter in search.php, allowing unauthenticated attackers to inject SQL code to extract sensitive information.</description><content:encoded><![CDATA[<p>Smartshop 1 is susceptible to a time-based blind SQL injection vulnerability in the search.php script. Unauthenticated attackers can exploit this flaw to inject arbitrary SQL code into database queries through the &lsquo;searched&rsquo; parameter. By crafting malicious GET requests containing SQL payloads, such as SLEEP commands, attackers can infer information about the database structure and extract sensitive data. The vulnerability, identified as CVE-2018-25342, poses a significant risk as it enables attackers to bypass authentication mechanisms and directly interact with the underlying database. Successful exploitation can lead to the disclosure of product details, system data, and potentially other critical information stored within the database. This vulnerability highlights the importance of input validation and parameterized queries to prevent SQL injection attacks.</p>
<h2 id="attack-chain">Attack Chain</h2>
<ol>
<li>The attacker identifies the &lsquo;searched&rsquo; parameter in the <code>search.php</code> script as a potential injection point.</li>
<li>The attacker crafts a malicious GET request targeting <code>search.php</code> with a SQL payload embedded in the &lsquo;searched&rsquo; parameter. For example: <code>search.php?searched=test'+OR+SLEEP(5)+--</code>.</li>
<li>The web server processes the request and executes the SQL query with the injected payload against the database.</li>
<li>Due to the time-based nature of the injection, the attacker observes the response time of the server.</li>
<li>If the injected SQL payload includes a <code>SLEEP()</code> function, the server will pause for the specified duration.</li>
<li>By analyzing the response times, the attacker can infer the results of conditional SQL queries (e.g., checking database version, table names, or data).</li>
<li>The attacker iteratively refines their SQL injection payload to extract specific data from the database, such as usernames, passwords, or product details.</li>
<li>Finally, the attacker exfiltrates the sensitive data obtained through the SQL injection vulnerability.</li>
</ol>
<h2 id="impact">Impact</h2>
<p>Successful exploitation of this vulnerability allows unauthenticated attackers to access sensitive data stored in the Smartshop 1 database. This may include customer information, product details, system configurations, and other confidential data. The vulnerability affects all installations of Smartshop 1 that do not have adequate input validation or parameterized queries implemented. The impact could lead to data breaches, financial losses, reputational damage, and potential legal liabilities for the affected organization.</p>
<h2 id="recommendation">Recommendation</h2>
<ul>
<li>Deploy the Sigma rule <code>Detect Smartshop Time-Based SQL Injection Attempt</code> to identify potential exploitation attempts based on the presence of <code>SLEEP()</code> functions or similar time-delaying SQL commands in web requests targeting <code>search.php</code>.</li>
<li>Apply input validation and sanitization to the &lsquo;searched&rsquo; parameter in <code>search.php</code> to prevent SQL injection attacks. Consider using parameterized queries or prepared statements to mitigate the risk.</li>
<li>Upgrade to a patched version of Smartshop that addresses CVE-2018-25342 or implement a web application firewall (WAF) rule to filter out malicious SQL payloads in HTTP requests.</li>
<li>Monitor web server logs for suspicious activity, such as unusual HTTP requests targeting <code>search.php</code> or error messages indicating SQL injection attempts. Enable webserver logging to activate the rules above.</li>
</ul>
]]></content:encoded><category domain="severity">high</category><category domain="type">advisory</category><category>sql-injection</category><category>web-application</category><category>cve-2018-25342</category></item><item><title>CVE-2018-25340 Smartshop 1 SQL Injection Vulnerability</title><link>https://feed.craftedsignal.io/briefs/2026-05-cve-2018-25340-smartshop-sql-injection/</link><pubDate>Tue, 26 May 2026 13:36:06 +0000</pubDate><author>hello@craftedsignal.io</author><guid isPermaLink="true">https://feed.craftedsignal.io/briefs/2026-05-cve-2018-25340-smartshop-sql-injection/</guid><description>Smartshop version 1 is vulnerable to SQL injection, allowing unauthenticated attackers to execute arbitrary SQL queries via the id parameter in category.php GET requests, potentially leading to sensitive data extraction.</description><content:encoded><![CDATA[<p>Smartshop version 1 is vulnerable to SQL injection. An unauthenticated attacker can send a specially crafted HTTP GET request to the <code>category.php</code> endpoint with a malicious SQL payload in the <code>id</code> parameter. This vulnerability allows the attacker to execute arbitrary SQL queries against the backend database. Successful exploitation can lead to the extraction of sensitive information, such as user credentials and other confidential data stored within the database. Given the lack of authentication required, this poses a significant risk to organizations using the vulnerable Smartshop version 1 application.</p>
<h2 id="attack-chain">Attack Chain</h2>
<ol>
<li>The attacker identifies a vulnerable Smartshop version 1 instance.</li>
<li>The attacker crafts a malicious HTTP GET request targeting the <code>category.php</code> endpoint.</li>
<li>The attacker injects a UNION-based SQL injection payload into the <code>id</code> parameter of the GET request, such as <code>id=1 UNION SELECT ...</code>.</li>
<li>The web server processes the request and passes the malicious SQL payload to the database.</li>
<li>The database executes the injected SQL query, potentially returning sensitive data.</li>
<li>The attacker receives the database response containing the extracted data, such as usernames, passwords, or other sensitive information.</li>
<li>The attacker analyzes the extracted data for valuable information.</li>
<li>The attacker can use the extracted credentials or sensitive data for further malicious activities, such as unauthorized access or data exfiltration.</li>
</ol>
<h2 id="impact">Impact</h2>
<p>Successful exploitation of this SQL injection vulnerability can lead to the compromise of the Smartshop database, resulting in the leakage of sensitive information, including user credentials. The number of affected installations is unknown. The sectors affected are those using Smartshop version 1 for e-commerce or other purposes. If the attack succeeds, attackers can gain unauthorized access to user accounts, financial data, or other confidential information, leading to financial loss and reputational damage.</p>
<h2 id="recommendation">Recommendation</h2>
<ul>
<li>Deploy the Sigma rule <code>Detect CVE-2018-25340 Exploitation - Smartshop SQL Injection</code> to your SIEM to identify exploitation attempts based on HTTP GET requests to <code>category.php</code> with SQL injection payloads.</li>
<li>Apply input validation and sanitization to the <code>id</code> parameter in <code>category.php</code> to prevent SQL injection, addressing CVE-2018-25340 directly.</li>
<li>Consider using parameterized queries or prepared statements to further mitigate the risk of SQL injection.</li>
</ul>
]]></content:encoded><category domain="severity">high</category><category domain="type">advisory</category><category>cve-2018-25340</category><category>sql-injection</category><category>web-application</category></item></channel></rss>