Cyber Resilience

CVE-2024-42849

DoS in Silverpeas ≤ 6.4.2

Public PoCDoS
Published
16 August 2024
Modified
05 July 2026
CVSS Score v3.1 6.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.012 66th percentile
Risk Priority 60 floored blend · peak EPSS

Summary

CVE-2024-42849 is a medium-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Silverpeas Silverpeas. Its CVSS base score is 6.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked in the top 34% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

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.

Silverpeas versions 6.4.2 and earlier are affected by a denial-of-service vulnerability that can be triggered through the password change function. The issue is classified under CWE-400 for uncontrolled resource consumption and is rated 6.5 on CVSS 3.1, with network access, low attack complexity, and low privileges required to impact availability while leaving confidentiality and integrity untouched.

An authenticated attacker with low privileges can send crafted requests to the password change endpoint, causing the application to exhaust resources and become unavailable to other users. The attack requires no user interaction and can be performed remotely over the network.

Public references include the Silverpeas project site and a GitHub repository containing a proof-of-concept. The associated EPSS score has remained flat at 0.1135 with no material rise since publication.

EU & UK References

Vulnerability Data

An issue in Silverpeas v.6.4.2 and lower allows a remote attacker to cause a denial of service via the password change function.

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-2024-36042Same product: Silverpeas Silverpeas
CVE-2023-47327Same product: Silverpeas Silverpeas
CVE-2025-45055Same product: Silverpeas Silverpeas
CVE-2024-42850Same product: Silverpeas Silverpeas
CVE-2024-29392Same product: Silverpeas Silverpeas
CVE-2024-48814Same product: Silverpeas Silverpeas
CVE-2023-47321Same product: Silverpeas Silverpeas
CVE-2023-47326Same product: Silverpeas Silverpeas
CVE-2025-46047Same product: Silverpeas Silverpeas
CVE-2023-47322Same product: Silverpeas Silverpeas

Affected Assets

silverpeas
silverpeas
≤ 6.4.2

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