Cyber Resilience

CVE-2024-5011

DoS in Progress Whatsup Gold ≤ 23.1.3

Published
25 June 2024
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.47 99th percentile
Risk Priority 77 floored blend · peak EPSS

Summary

CVE-2024-5011 is a high-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Progress Whatsup Gold. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SC-5 (Denial-of-service Protection) and SC-6 (Resource Availability) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

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

WhatsUp Gold versions released before 2023.1.3 contain an uncontrolled resource consumption vulnerability, tracked as CWE-400, in the TestController Chart functionality. The issue allows a specially crafted unauthenticated HTTP request to consume excessive resources and produce a denial-of-service condition, reflected in the CVSS 7.5 rating that emphasizes network attack vector, low complexity, and high availability impact.

An unauthenticated remote attacker can send a single malicious request to the affected endpoint and disrupt service availability without requiring credentials or user interaction.

Progress security bulletins direct customers to upgrade to WhatsUp Gold 2023.1.3 or later, with additional details available in the vendor advisory and the associated Talos vulnerability report.

The EPSS score has remained flat at 0.1067 since disclosure, indicating no material rise in observed exploitation interest.

EU & UK References

Vulnerability Data

In WhatsUp Gold versions released before 2023.1.3, an uncontrolled resource consumption vulnerability exists. A specially crafted unauthenticated HTTP request to the TestController Chart functionality can lead to denial of service.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1499.001 OS Exhaustion Flood Impact
Adversaries may launch a denial of service (DoS) attack targeting an endpoint's operating system (OS).
T1498 Network Denial of Service Impact
Adversaries may perform Network Denial of Service (DoS) attacks to degrade or block the availability of targeted resources to users.
T1499 Endpoint Denial of Service Impact
Adversaries may perform Endpoint Denial of Service (DoS) attacks to degrade or block the availability of services to users.
T1499.002 Service Exhaustion Flood Impact
Adversaries may target the different network services provided by systems to conduct a denial of service (DoS).
T1499.003 Application Exhaustion Flood Impact
Adversaries may target resource intensive features of applications to cause a denial of service (DoS), denying availability to those applications.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-5013Same product: Progress Whatsup Gold
CVE-2023-6368Same product: Progress Whatsup Gold
CVE-2024-8785Same product: Progress Whatsup Gold
CVE-2024-6670Same product: Progress Whatsup Gold
CVE-2024-5012Same product: Progress Whatsup Gold
CVE-2023-6364Same product: Progress Whatsup Gold
CVE-2024-7763Same product: Progress Whatsup Gold
CVE-2024-4885Same product: Progress Whatsup Gold
CVE-2024-5017Same product: Progress Whatsup Gold
CVE-2024-46906Same product: Progress Whatsup Gold

Affected Assets

progress
whatsup gold
≤ 23.1.3

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

SC-5 directly limits the effects of resource-exhaustion events that constitute uncontrolled consumption.

SC-6 enforces explicit allocation limits on resources, structurally preventing the weakness from occurring.

Process isolation confines resource consumption to separate domains, reducing blast radius without stopping the root flaw.

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.IR-04 mostly match
prevents

Explicitly requires monitoring and maintaining resource capacity, directly addressing uncontrolled consumption to preserve availability.

DE.CM-09 partial match
prevents

Continuous monitoring of computing resources can detect resource exhaustion but does not itself enforce allocation limits.

PR.IR-03 partial match
prevents

Resilience mechanisms such as avoiding single points of failure indirectly reduce impact of resource exhaustion.

PR.PS-01 partial match
prevents

Hardened configuration baselines can include resource quotas and limits that constrain consumption.

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

Resource-utilization monitoring and alerting on bottlenecks or overloads limits the impact of denial-of-service or resource-exhaustion attacks.

prevents

By continuously monitoring utilization, stress-testing peak loads, and maintaining documented plans to scale or throttle resources, the control directly limits an attacker’s ability to drive a system into uncontrolled resource exhaustion.

finds

Pre-agreed severity-based prioritization and resource allocation during incident triage reduce the likelihood that an attacker-induced resource exhaustion will overwhelm the organization before corrective action is taken.

mitigates

Business-continuity plans that include resource-management controls reduce the likelihood that an attacker can trigger uncontrolled resource consumption by forcing the system into a degraded or fallback state.

mitigates

Defining RTOs and capacity requirements for ICT services during business-impact analysis forces organizations to provision sufficient resources and throttling mechanisms, reducing the likelihood that an attacker can induce denial-of-service through uncontrolled resource consumption.

finds

Early notification of anomalous resource consumption or system malfunctions enables throttling or isolation before availability is lost.

References