CVE-2024-6671 (GCVE-0-2024-6671)
Vulnerability from cvelistv5 – Published: 2024-08-29 22:06 – Updated: 2024-09-25 03:55Title
WhatsUp Gold GetStatisticalMonitorList SQL Injection Authentication Bypass Vulnerability
Summary
In WhatsUp Gold versions released before 2024.0.0, if the application is configured with only a single user, a SQL Injection vulnerability allows an unauthenticated attacker to retrieve the users encrypted password.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-24 00:00 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.progress.com/network-monitoring | product |
| https://community.progress.com/s/article/WhatsUp-… | vendor-advisory |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Progress Software Corporation | WhatsUp Gold |
Affected:
2023.1.0 , < 2024.0.0
(semver)
|
|
| progress | whatsupgold |
Affected:
2023.1.0 , < 2024.0.0
(semver)
cpe:2.3:a:progress:whatsupgold:*:*:*:*:*:*:*:* |
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 80a2ae60-30f5-4065-9c70-117f7ca96633
Exploited: Yes
Timestamps
First Seen: 2026-06-04
Asserted: 2026-06-04
Scope
Notes: WhatsUp Gold GetStatisticalMonitorList SQL Injection Authentication Bypass Vulnerability | Affected: Progress Software / WhatsUp Gold | CVSS: 9.8 (CRITICAL) | EPSS: 0.18988 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | WhatsUp Gold GetStatisticalMonitorList SQL Injection Authentication Bypass Vulnerability |
| Cve Id | CVE-2024-6671 |
| Vendor | Progress Software |
| Ghsa Id | None |
| Product | WhatsUp Gold |
| Added Date | 2026-06-04T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.18988 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.97224 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2024-6671 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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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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