CVE-2022-36537 (GCVE-0-2022-36537)
Vulnerability from cvelistv5 – Published: 2022-08-26 00:00 – Updated: 2025-10-21 23:15Summary
ZK Framework v9.6.1, 9.6.0.1, 9.5.1.3, 9.0.1.2 and 8.6.4.1 allows attackers to access sensitive information via a crafted POST request sent to the component AuUploader.
Severity
7.5 (High)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-29 15:40 UTC
Assigner
References
3 references
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: b8eb1e76-06cd-42ab-9747-e1d1cf17c4e9
Exploited: Yes
Timestamps
First Seen: 2023-02-27
Asserted: 2023-02-27
Scope
Notes: KEV entry: ZK Framework AuUploader Unspecified Vulnerability | Affected: ZK Framework / AuUploader | Description: ZK Framework AuUploader servlets contain an unspecified vulnerability that could allow an attacker to retrieve the content of a file located in the web context. The ZK Framework is an open-source Java framework. This vulnerability can impact multiple products, including but not limited to ConnectWise R1Soft Server Backup Manager. | Required action: Apply updates per vendor instructions. | Due date: 2023-03-20 | Known ransomware campaign use (KEV): Known | Notes (KEV): https://tracker.zkoss.org/browse/ZK-5150; https://nvd.nist.gov/vuln/detail/CVE-2022-36537
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-441 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | AuUploader |
| Due Date | 2023-03-20 |
| Date Added | 2023-02-27 |
| Vendorproject | ZK Framework |
| Vulnerabilityname | ZK Framework AuUploader Unspecified Vulnerability |
| Knownransomwarecampaignuse | Known |
References
Created: 2026-02-02 13:25 UTC
| Updated: 2026-02-06 07:53 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9b5c1eda-abcc-48ac-abcc-1954647bcf18
Exploited: Yes
Timestamps
First Seen: 2023-02-27
Asserted: 2023-02-27
Scope
Notes: KEVIntel entry: ZK Framework v9.6.1, 9.6.0.1, 9.5.1.3, 9.0.1.2 and 8.6.4.1 allows attackers to access sensitive information via a crafted POST request sent to the... | Affected: Potix Corporation / ZK Framework | CVSS: 7.5 (HIGH) | Used in malware: yes | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Confirmed Compromise
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | ZK Framework v9.6.1, 9.6.0.1, 9.5.1.3, 9.0.1.2 and 8.6.4.1 allows attackers to access sensitive information via a crafted POST request sent to the... |
| Vendor | Potix Corporation |
| Product | ZK Framework |
| Added Date | 2023-02-27T00:00:00.000Z |
| Cvss Score | 7.5 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | yes |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 11:14 UTC
| Updated: 2026-06-23 11:14 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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