CVE-2022-36537 (GCVE-0-2022-36537)

Vulnerability from cvelistv5 – Published: 2022-08-26 00:00 – Updated: 2025-10-21 23:15
VLAI CISA Previdian
Summary
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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
SSVC
Exploitation: active Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-29 15:40 UTC
CWE
Assigner
References
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 5510a0ae-1519-4965-bf9f-60ccf00a8d0d

Vulnerability ID: CVE-2022-36537

Status: Confirmed

Status Updated: 2023-02-27 00:00 UTC

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 12:27 UTC | Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9fb8c60c-1909-4995-baf5-741510a43080

Vulnerability ID: CVE-2022-36537

Status: Confirmed

Status Updated: 2023-02-27 00:00 UTC

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 14:05 UTC | Updated: 2026-07-10 06:14 UTC
Show details on NVD website
To clipboard 

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}



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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.


Detection rules are retrieved from Rulezet.


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.