CVE-2019-9621 (GCVE-0-2019-9621)
Vulnerability from cvelistv5 – Published: 2019-04-30 17:40 – Updated: 2025-10-21 23:45Summary
Zimbra Collaboration Suite before 8.6 patch 13, 8.7.x before 8.7.11 patch 10, and 8.8.x before 8.8.10 patch 7 or 8.8.x before 8.8.11 patch 3 allows SSRF via the ProxyServlet component.
Severity
7.5 (High)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-17 03:55 UTC
CWE
- n/a
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
10 references
| URL | Tags |
|---|---|
| https://wiki.zimbra.com/wiki/Zimbra_Security_Advisories | x_refsource_CONFIRM |
| https://wiki.zimbra.com/wiki/Security_Center | x_refsource_MISC |
| https://bugzilla.zimbra.com/show_bug.cgi?id=109127 | x_refsource_MISC |
| http://www.rapid7.com/db/modules/exploit/linux/ht… | x_refsource_MISC |
| http://packetstormsecurity.com/files/152487/Zimbr… | x_refsource_MISC |
| https://www.exploit-db.com/exploits/46693/ | exploitx_refsource_EXPLOIT-DB |
| https://blog.zimbra.com/2019/03/9826/ | x_refsource_MISC |
| https://blog.tint0.com/2019/03/a-saga-of-code-exe… | x_refsource_MISC |
| http://packetstormsecurity.com/files/153190/Zimbr… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Date Public
2019-03-13 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 0e924bbe-4067-4e3f-b0cc-af9baca285bb
Exploited: Yes
Timestamps
First Seen: 2025-07-07
Asserted: 2025-07-07
Scope
Notes: KEV entry: Synacor Zimbra Collaboration Suite (ZCS) Server-Side Request Forgery (SSRF) Vulnerability | Affected: Synacor / Zimbra Collaboration Suite (ZCS) | Description: Synacor Zimbra Collaboration Suite (ZCS) contains a server-side request forgery (SSRF) vulnerability via the ProxyServlet component. | Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable. | Due date: 2025-07-28 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://wiki.zimbra.com/wiki/Zimbra_Security_Advisories ; https://wiki.zimbra.com/wiki/Security_Center ; https://nvd.nist.gov/vuln/detail/CVE-2019-9621
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-918 CWE-807 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Zimbra Collaboration Suite (ZCS) |
| Due Date | 2025-07-28 |
| Date Added | 2025-07-07 |
| Vendorproject | Synacor |
| Vulnerabilityname | Synacor Zimbra Collaboration Suite (ZCS) Server-Side Request Forgery (SSRF) Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:25 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 1cbf622c-0ecb-4edf-a580-416dafd14583
Exploited: Yes
Timestamps
First Seen: 2026-06-01
Asserted: 2026-06-01
Scope
Notes: KEVIntel entry: Zimbra Collaboration Suite before 8.6 patch 13, 8.7.x before 8.7.11 patch 10, and 8.8.x before 8.8.10 patch 7 or 8.8.x before 8.8.11 patch 3 allows... | Affected: Zimbra / Zimbra Collaboration Suite | CVSS: 7.5 (HIGH) | EPSS: 0.80906 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Zimbra Collaboration Suite before 8.6 patch 13, 8.7.x before 8.7.11 patch 10, and 8.8.x before 8.8.10 patch 7 or 8.8.x before 8.8.11 patch 3 allows... |
| Vendor | Zimbra |
| Product | Zimbra Collaboration Suite |
| Added Date | 2026-06-01T10:36:30.865Z |
| Cvss Score | 7.5 |
| Epss Score | 0.80906 |
| Cvss Severity | HIGH |
| Epss Percentile | 0.99579 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev |
|
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:03 UTC
| Updated: 2026-07-10 06:14 UTC
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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