VulnerabilityPublished 15 Dec 2024Updated 16 Dec 2024

CVE-2024-56072: fastnetmon · Code Injection

Affects fastnetmonSource CVE Database V5

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 12:54 UTC

CVSS 3.1 base score

7.5High

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.7% chance of exploitation in 30 days – higher than 53% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: None
Scope: Unchanged
Confidentiality: None
Integrity: None
Availability: High

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: None: There is no loss of confidentiality within the impacted component.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: High: There is total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 15 Dec 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
GitHubpavel-odintsov/fastnetmon`pkg:github/pavel-odintsov/fastnetmon`Other threats	Affected <=1.2.7	Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate CVE-2024-56072, organizations should first monitor official FastNetMon channels for patches or updates addressing the sFlow v5 plugin vulnerability and apply them promptly once available. In the interim, network administrators can implement filtering or rate limiting on sFlow traffic at the network perimeter to reduce the risk of receiving maliciously crafted packets with excessive samples. Deploying intrusion detection or prevention systems (IDS/IPS) with custom rules to detect abnormal sFlow packet sizes or sample counts can help block exploit attempts. Segmentation of network monitoring infrastructure to isolate FastNetMon instances from untrusted networks reduces exposure. Regularly reviewing and restricting access to sFlow data sources minimizes attack vectors. Additionally, organizations should maintain robust monitoring of FastNetMon service health to detect crashes quickly and automate failover or restart mechanisms to minimize downtime. Conducting threat hunting for anomalous sFlow traffic patterns can preempt exploitation attempts. Finally, consider alternative or supplementary network monitoring solutions to ensure continuity if FastNetMon services are disrupted.

Description

An issue was discovered in FastNetMon Community Edition through 1.2.7. The sFlow v5 plugin allows remote attackers to cause a denial of service (application crash) via a crafted packet that specifies many sFlow samples.

Impact

The primary impact of CVE-2024-56072 is a denial of service condition affecting FastNetMon Community Edition deployments. Organizations relying on FastNetMon for real-time network monitoring and DDoS detection may experience application crashes, resulting in loss of visibility into network traffic and delayed detection of malicious activity. This can degrade incident response effectiveness and increase the risk of undetected attacks. Service providers and enterprises with large-scale networks that use FastNetMon could face operational disruptions, potentially affecting customer service and network reliability. Since the vulnerability is remotely exploitable without authentication, attackers can launch denial of service attacks from anywhere on the internet, increasing the threat surface. Although no data confidentiality or integrity issues are reported, the loss of monitoring capability can indirectly lead to security risks if attacks go unnoticed. The absence of known exploits in the wild currently limits immediate widespread impact, but the vulnerability's characteristics make it a likely target for future exploitation. Organizations in sectors with critical network infrastructure, such as telecommunications, finance, and government, are particularly vulnerable to the operational consequences of this denial of service.

CWE-94Improper Control of Generation of Code ('Code Injection') (opens in a new tab)
Base weaknessLikelihood of exploit: MediumCWE Top 25 (2025): #10OWASP Top 10 A05:2025: Injection (opens in a new tab)
The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.
Architecture and Design · Refactoring
Refactor your program so that you do not have to dynamically generate code.
Architecture and Design
Run your code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product.
Implementation · Input Validation
Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
OWASP Cheat Sheets
Server Side Request Forgery Prevention (opens in a new tab)
Unvalidated Redirects and Forwards (opens in a new tab)
Cross Site Scripting Prevention (opens in a new tab)
DOM based XSS Prevention (opens in a new tab)
Abuse Case (opens in a new tab)
OWASP ASVS 4.0.3
V5.2.8 (opens in a new tab)
V5.2.5 (opens in a new tab)
V1.5.1 (opens in a new tab)
Attack patterns
Leverage Executable Code in Non-Executable Files (opens in a new tab)
Manipulating User-Controlled Variables (opens in a new tab)
Code Injection (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 26 Feb 2026, 02:10 UTC

WeaknessesCWE-94

Technical details

References

Community reviews

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