Home › Intelligence › Brief
VULNERABILITY BRIEF 🟠 High Vulnerability

Improper Length Parameter Handling in MongoDB Server (CVE‑2025‑14847) Enables Unauthenticated Memory Read

MongoDB Server contains a flaw in its Zlib‑compressed protocol handling that can be triggered by an unauthenticated client to read uninitialized heap memory. The vulnerability (CVE‑2025‑14847) carries a CVSS score of 7.8, highlighting the need for rapid patching and evidence‑based remediation to satisfy audit requirements.

Verisq™ Intelligence · 📅 October 07, 2026 · 📰 nvd.nist.gov
🟠
Severity
High
VU
Type
Vulnerability
🎯
Confidence
High
🏢
Affected
1 sector(s)
✅
Actions
4 recommended
📰
Source
nvd.nist.gov

Improper Length Parameter Handling in MongoDB Server (CVE‑2025‑14847) Enables Unauthenticated Memory Read

What It Is — MongoDB Server mishandles length‑parameter inconsistencies in Zlib‑compressed protocol headers. An unauthenticated client can craft a request that triggers a read of uninitialized heap memory, potentially exposing internal data.

Exploitability — The flaw is exploitable without credentials; a proof‑of‑concept exists in the NVD advisory. No public exploit has been observed, but the CVSS score is 7.8 (High), indicating a serious risk if leveraged.

Affected Products — MongoDB Server (all supported versions that include the vulnerable Zlib handling; exact version range disclosed in the CISA KEV advisory).

Why It Matters for Trust & Control Assurance

  • Demonstrates the need for a Vulnerability Management control that ensures timely identification, assessment, and remediation of software flaws.
  • Continuous evidence of patch deployment and configuration validation provides a defensible audit trail for regulators and enterprise buyers.
  • Mapping this finding to a control objective creates a single trust signal that satisfies multiple frameworks (e.g., NIST CSF Identify, ISO 27001 A.12.6).

Recommended Actions

  1. Apply the MongoDB‑provided patch immediately and verify the version update.
  2. Update your asset inventory to flag the patched component and capture remediation evidence.
  3. Enable logging of Zlib‑related network traffic and monitor for anomalous header patterns.
  4. Map the remediation to your control framework using a continuous‑evidence platform to demonstrate compliance.

Source: CISA KEV – CVE‑2025‑14847

📰 Original Source
https://nvd.nist.gov/vuln/detail/CVE-2025-14847 ↗

This Verisq Intelligence Brief is an independent analysis. Read the original reporting at the link above.

Vulnerability exposure

Is this CVE in your supply chain?

Verisq matches published vulnerabilities against the software your vendors run, so you know which relationships this touches before the next review.

See vendor exposure →