Security Resilience

CVE-2023-44450

SQLi in Netgear Prosafe Network Management System ≤ 1.7.0.31

High EPSSSQLi
Published
03 May 2024
Modified
07 February 2025
Patch / advisory
CVSS Score v3.1 8.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.54 99th percentile
Risk Priority 85 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2023-44450 is a high-severity SQL Injection (CWE-89) vulnerability in Netgear Prosafe Network Management System. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

The vulnerability CVE-2023-44450 is a SQL injection issue in the getNodesByTopologyMapSearch function of NETGEAR ProSAFE Network Management System. The flaw arises from missing validation of user-supplied strings before they are incorporated into SQL queries, enabling remote code execution on affected installations.

Authenticated remote attackers can leverage the weakness to run arbitrary code in the context of the SYSTEM account. The vulnerability carries a CVSS score of 8.8 and is tracked under CWE-89.

NETGEAR has released a security advisory covering this issue along with related vulnerabilities in the NMS300 product line, while the Zero Day Initiative has published technical details originally reported as ZDI-CAN-21858. The EPSS score has remained steady at its peak value of 0.3920 with no material upward trajectory observed after disclosure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

NETGEAR ProSAFE Network Management System getNodesByTopologyMapSearch SQL Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NETGEAR ProSAFE Network Management System. Authentication is required to exploit this vulnerability. The specific flaw…

more

exists within the getNodesByTopologyMapSearch function. The issue results from the lack of proper validation of a user-supplied string before using it to construct SQL queries. An attacker can leverage this vulnerability to execute code in the context of SYSTEM. Was ZDI-CAN-21858.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001.003 Protocol or Service Impersonation Command And Control
Adversaries may impersonate legitimate protocols or web service traffic to disguise command and control activity and thwart analysis efforts.
T1003 OS Credential Dumping Credential Access
Adversaries may attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password.
T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
T1003.003 NTDS Credential Access
Adversaries may attempt to access or create a copy of the Active Directory domain database in order to steal credential information, as well as obtain other information about domain members such as devices, users, and access rights.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-38099Same product: Netgear Prosafe Network Management System
CVE-2023-44449Same product: Netgear Prosafe Network Management System
CVE-2024-6814Same product: Netgear Prosafe Network Management System
CVE-2023-38100Same product: Netgear Prosafe Network Management System
CVE-2024-6813Same product: Netgear Prosafe Network Management System
CVE-2023-27358Same vendor: Netgear
CVE-2023-48687Shared CWE-89
CVE-2023-30092Shared CWE-89
CVE-2023-43610Shared CWE-89
CVE-2024-7676Shared CWE-89

Affected Assets

netgear
prosafe network management system
≤ 1.7.0.31

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V6.2.5

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.

Input validation directly stops untrusted data from reaching SQL query construction without neutralization.

Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.

System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
blocks

Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.

PR.AT-02 partial match
blocks

Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

removes
removes
removes
removes
blocks

A.5.6 only improves knowledge flow, awareness of threats/patches and access to specialist advice; it does not stop SQL injection from being exploitable in code that still contains the flaw.

References