Cyber Resilience

CVE-2021-26606

Critical

Published: 06 August 2021

Published
06 August 2021
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 9.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0049 65.8th percentile
Risk Priority 20 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2021-26606 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Dreamsecurity Magicline4Nx.Exe. Its CVSS base score is 9.8 (Critical).

Operationally, ranked in the top 34.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A vulnerability in PKI Security Solution of Dream Security could allow arbitrary command execution. This vulnerability is due to insufficient validation of the authorization certificate. An attacker could exploit this vulnerability by sending a crafted HTTP request an affected program.…

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A successful exploit could allow the attacker to remotely execute arbitrary code on a target system.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

dreamsecurity
magicline4nx.exe
≤ 1.0.0.17

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-120

Platform-independent managed code eliminates the need for unchecked native buffer copies that are the root cause of classic buffer overflows.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References