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schneierBruce SchneierSCHNEIER:CE587B34890317752DF8BDC995574C8E
HistoryJul 03, 2024 - 3:27 p.m.

New Open SSH Vulnerability

2024-07-0315:27:11
Bruce Schneier
www.schneier.com
8
openssh
vulnerability
remote code execution
risk
linux systems
full system compromise
network propagation
root access
data breaches
memory corruption
aslr
security flaws

8.1 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

8.7 High

AI Score

Confidence

High

0.001 Low

EPSS

Percentile

29.7%

It's a serious one:

> The vulnerability, which is a signal handler race condition in OpenSSH's server (sshd), allows unauthenticated remote code execution (RCE) as root on glibc-based Linux systems; that presents a significant security risk. This race condition affects sshd in its default configuration.
>
> […]
>
> This vulnerability, if exploited, could lead to full system compromise where an attacker can execute arbitrary code with the highest privileges, resulting in a complete system takeover, installation of malware, data manipulation, and the creation of backdoors for persistent access. It could facilitate network propagation, allowing attackers to use a compromised system as a foothold to traverse and exploit other vulnerable systems within the organization.
>
> Moreover, gaining root access would enable attackers to bypass critical security mechanisms such as firewalls, intrusion detection systems, and logging mechanisms, further obscuring their activities. This could also result in significant data breaches and leakage, giving attackers access to all data stored on the system, including sensitive or proprietary information that could be stolen or publicly disclosed.
>
> This vulnerability is challenging to exploit due to its remote race condition nature, requiring multiple attempts for a successful attack. This can cause memory corruption and necessitate overcoming Address Space Layout Randomization (ASLR). Advancements in deep learning may significantly increase the exploitation rate, potentially providing attackers with a substantial advantage in leveraging such security flaws.

The details. News articles. CVE data. Slashdot thread.

8.1 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

8.7 High

AI Score

Confidence

High

0.001 Low

EPSS

Percentile

29.7%