Security Digest · Vulnerability record
CVE-2026-115324: mem0ai Databricks vector store vulnerable to SQL injection
mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vectorstores/databricks.py that allows attackers to inject SQL by influencing stored memory content.
CVSS 9.2 Critical EPSS 0.3% · p24
Should you act?
Critical and remotely reachable
No known exploitation yet, but it is network-reachable without credentials. This signal is computed from CISA KEV, EPSS and CVSS data; it is not an editorial verdict.
- No confirmed exploitation. It is not in CISA’s KEV catalog. That can change quickly after a public write-up; re-check if you are affected.
- EPSS 0.3%, percentile 24: FIRST’s model estimates a 0.3% chance of exploitation activity in the next 30 days, higher than 24% of all scored CVEs (low). EPSS is a probability, not a verdict.
- Remotely reachable with no login and no user interaction. If the vulnerable service is exposed to the internet, prioritize it.
- Only applies if your dependency tree includes
mem0ai(PyPI) >= 0.1.117, < 1.0.8, fixed in 1.0.8. Check your lockfile, including transitive dependencies.
What it is
mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vectorstores/databricks.py that allows attackers to inject SQL by influencing stored memory content. Attackers can supply crafted memory text, metadata, or message names that reach unescaped insert() and update() string interpolation to execute injected SQL on the configured Databricks SQL warehouse.
From the GitHub advisory
mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vectorstores/databricks.py that allows attackers to inject SQL by influencing stored memory content. Attackers can supply crafted memory text, metadata, or message names that reach unescaped insert() and update() string interpolation to execute injected SQL on the configured Databricks SQL warehouse.
Weakness type: CWE-89.
Product: mem0ai (PyPI) · Assigned by: VulnCheck · Published: 2026-10-22
Affected and fixed versions
| Ecosystem | Package | Vulnerable | First fixed |
|---|---|---|---|
| PyPI | mem0ai | >= 0.1.117, < 1.0.8 | 1.0.8 |
| Vendor | Product | Affected versions (per CVE record) |
|---|---|---|
| mem0ai | mem0 | 0.1.117 < 1.0.8 |
Severity scores
| Scored by | CVSS | Score | Vector |
|---|---|---|---|
| VulnCheck | 4.0 | 9.2 Critical | CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N |
| VulnCheck | 3.1 | 8.1 High | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H |
| GitHub | 4.0 | 9.2 | CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N |
- Attack vector: network (remotely reachable)
- Attack complexity: high (needs special conditions)
- Attack requirements: present (depends on deployment conditions)
- Privileges required: none (no login)
- User interaction: none
CVSS measures how bad a flaw is if exploited, not how likely exploitation is. Read it next to the exploitation data below.
Exploitation and urgency
- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- FIRST EPSS (model of 2026-10-23): 0.33% probability of exploitation activity in the next 30 days; percentile 24.
Timeline
- — CVE record last updated
- — CVE record published by VulnCheck
- — GitHub-reviewed advisory GHSA-7587-9684-52r6 published (critical)
Sources and references
Original sources first. Version and fix details should always be confirmed against the vendor or project advisory.
Vendor and project advisories, patches
- github.com github.com
- github.com github.com
- v1.0.8 Release Notes github.com
Vulnerability records
- GitHub Advisory GHSA-7587-9684-52r6 github.com
- CVE.org record CVE-2026-115324 cve.org
- NVD entry CVE-2026-115324 nvd.nist.gov
Other references from the CVE record and advisory
- github.com github.com
- github.com github.com
- github.com github.com
- VulnCheck Advisory: mem0 0.1.117 before 1.0.8 SQL Injection via Databricks Vector Store vulncheck.com