Cyber Resilience

CVE-2023-37580

XSS in Synacor Zimbra Collaboration Suite 8.8.0 – 8.8.15

CISA KEVActive ExploitationEUVD ExploitedXSS
Published
31 July 2023
Modified
31 October 2025
KEV Added
27 July 2023
Patch / advisory
CVSS Score v3.1 6.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.47 99th percentile
Risk Priority 75 floored blend · peak EPSS

Summary

CVE-2023-37580 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Synacor Zimbra Collaboration Suite. Its CVSS base score is 6.1 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 1% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog.

Deeper analysis AI-assisted summary

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

CVE-2023-37580 is a cross-site scripting vulnerability, tracked as CWE-79, that affects Zimbra Collaboration (ZCS) version 8 prior to 8.8.15 Patch 41. The flaw resides in the Zimbra Classic Web Client and carries a CVSS 3.1 score of 6.1 reflecting network attack vector, low complexity, no required privileges, and required user interaction with changed scope.

An unauthenticated attacker can supply a crafted link or message that, when viewed by a user in the Classic Web Client, executes arbitrary script within the application's security context. Successful exploitation yields limited impacts on confidentiality and integrity while leaving availability unaffected.

Public references direct practitioners to the Zimbra Security Center and associated Openwall disclosures for official guidance on affected releases and remediation steps. The associated EPSS score has remained flat at its current peak value of 0.9392 with no material rise observed after disclosure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Zimbra Collaboration (ZCS) 8 before 8.8.15 Patch 41 allows XSS in the Zimbra Classic Web Client.

CWE(s)
KEV Date Added
27 July 2023

Related Threats

MITRE ATT&CK Enterprise Techniques

T1185 Browser Session Hijacking Collection
Adversaries may take advantage of security vulnerabilities and inherent functionality in browser software to change content, modify user-behaviors, and intercept information as part of various browser session hijacking techniques.
T1539 Steal Web Session Cookie Credential Access
An adversary may steal web application or service session cookies and use them to gain access to web applications or Internet services as an authenticated user without needing credentials.
T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
T1189 Drive-by Compromise Initial Access
Adversaries may gain access to a system through a user visiting a website over the normal course of browsing.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2018-6882Same product: Synacor Zimbra Collaboration Suiteboth on KEV
CVE-2022-27926Same product: Synacor Zimbra Collaboration Suiteboth on KEV
CVE-2023-34192Same product: Synacor Zimbra Collaboration Suiteboth on KEV
CVE-2023-5631Same product class: email / collaborationboth on KEV
CVE-2023-43770Same product class: email / collaborationboth on KEV
CVE-2020-35730Same product class: email / collaborationboth on KEV
CVE-2020-13965Same product class: email / collaborationboth on KEV
CVE-2023-47272Same product class: email / collaboration
CVE-2023-43102Same product class: email / collaboration
CVE-2023-24031Same product class: email / collaboration

Affected Assets

synacor
zimbra collaboration suite
8.8.15 · 8.8.0 — 8.8.15

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)
  • V1.1.2
  • V1.3.2

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-79

Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.

addresses: CWE-79

Validates web inputs to reject script-related content that could produce XSS.

addresses: CWE-79

Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.

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
prevents

Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).

PR.PS-02 partial match
prevents

Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).

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.

finds

Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.

prevents

Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.

prevents

Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.

prevents

Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.

prevents

Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.

none

Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.

References