<?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/" xmlns:webfeeds="http://webfeeds.org/rss/1.0"><channel><title>Mem0 (0.1.117 Before 1.0.8) - CraftedSignal Threat Feed</title><link>https://feed.craftedsignal.io/products/mem0-0.1.117-before-1.0.8/</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>Thu, 22 Oct 2026 14:16:49 +0000</lastBuildDate><atom:link href="https://feed.craftedsignal.io/products/mem0-0.1.117-before-1.0.8/feed.xml" rel="self" type="application/rss+xml"/><image><url>https://feed.craftedsignal.io/favicon-32x32.png</url><title>CraftedSignal Threat Feed</title><link>https://feed.craftedsignal.io/</link><width>32</width><height>32</height></image><webfeeds:icon>https://feed.craftedsignal.io/favicon.svg</webfeeds:icon><item><title>mem0: SQL injection in Databricks vector store (CVE-2026-115324)</title><link>https://feed.craftedsignal.io/briefs/2026-10-mem0-sql-injection/</link><pubDate>Thu, 22 Oct 2026 14:16:49 +0000</pubDate><author>hello@craftedsignal.io</author><guid isPermaLink="true">https://feed.craftedsignal.io/briefs/2026-10-mem0-sql-injection/</guid><description>mem0 versions 0.1.117 before 1.0.8 contain an SQL injection vulnerability in mem0/vector_stores/databricks.py that allows attackers to execute injected SQL on the configured Databricks SQL warehouse by influencing stored memory content.</description><content:encoded><![CDATA[<p>CVE-2026-115324 is a SQL injection vulnerability in the mem0 library (versions 0.1.117 before 1.0.8). The flaw exists in <code>mem0/vector_stores/databricks.py</code> due to unescaped string interpolation in <code>insert()</code> and <code>update()</code> operations. Attackers can supply crafted memory text, metadata, or message names to execute injected SQL on the configured Databricks SQL warehouse.</p>
]]></content:encoded><category domain="severity">high</category><category domain="type">advisory</category></item></channel></rss>