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CVE-2023-1671

A pre-auth command injection vulnerability in the warn-proceed handler of Sophos Web Appliance older than version 4.3.10.4 allows execution

Published
Last modified
published
Listed in CISA KEV
Actively exploited
Fix
Fixed in 4.3.10.4
None on Exploit-DB, Metasploit or GitHub

Summary

The Sophos Web Appliance is affected by this vulnerability, which can be exploited without logging in. Successful exploitation would allow an attacker to run arbitrary code on the affected appliance.

Summarized by anthropic/claude-haiku-5.5. Verify details against the original sources.

Read the original description

A pre-auth command injection vulnerability in the warn-proceed handler of Sophos Web Appliance older than version 4.3.10.4 allows execution of arbitrary code.

Timeline

  1. CVE published
  2. Added to CISA KEV

    CISA has evidence of exploitation in the wild

  3. CISA remediation deadline

    Due date for US federal agencies to patch

  4. Record last updated
  5. EPSS reached 10%

    FIRST estimates at least a 10% chance of exploitation in the next 30 days

Affected versions

  • Sophos Sophos Web Appliance

    From unspecified · fixed in 4.3.10.4

References 2

sophos.com

packetstormsecurity.com

FAQ

Questions about CVE-2023-1671

What does this mean?

A command injection flaw in the warn-proceed handler lets code run on the appliance without logging in. The advisory describes the impact as execution of arbitrary code on the appliance.Source: sophos.com

Am I affected, and how do I check?

Sophos Web Appliance versions older than 4.3.10.4 are affected. To check, compare the installed version against 4.3.10.4.Source: sophos.com

What should I do about it?

Upgrade Sophos Web Appliance to 4.3.10.4, the release that fixes this issue. No workaround is listed in the facts.Source: sophos.com

Is it being exploited?

Yes. CISA added it to its Known Exploited Vulnerabilities catalog on 2023-11-16, which means it has evidence of attacks. No public exploit code is tracked.Source: cisa.gov, cve.now feed data