Fortinet FortiSwitch/FortiAnalyzer/FortiManager Admin WebUI HTTP Requests resource consumption

CVSS Meta Temp Score
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Fortinet FortiSwitch, FortiAnalyzer and FortiManager. Affected by this vulnerability is an unknown functionality of the component Admin WebUI. Performing a manipulation as part of HTTP Requests results in resource consumption. This vulnerability was named CVE-2019-17657. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as problematic, was found in Fortinet FortiSwitch, FortiAnalyzer and FortiManager (version now known). This affects some unknown processing of the component Admin WebUI. The manipulation as part of a HTTP Requests leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:

An Uncontrolled Resource Consumption vulnerability in Fortinet FortiSwitch below 3.6.11, 6.0.6 and 6.2.2, FortiAnalyzer below 6.2.3, FortiManager below 6.2.3 and FortiAP-S/W2 below 6.2.2 may allow an attacker to cause admin webUI denial of service (DoS) via handling special crafted HTTP requests/responses in pieces slowly, as demonstrated by Slow HTTP DoS Attacks.

The weakness was presented 04/07/2020 (Website). It is possible to read the advisory at fortiguard.com. This vulnerability is uniquely identified as CVE-2019-17657 since 10/16/2019. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 209849 (Fortinet Fortigate Slow HTTP DoS Attacks Mitigation (FG-IR-19-013)), which helps to determine the existence of the flaw in a target environment.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Tenable (209849). Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 209849
Nessus Name: Fortinet Fortigate Slow HTTP DoS Attacks Mitigation (FG-IR-19-013)

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/16/2019 🔍
04/07/2020 +174 days 🔍
04/08/2020 +1 days 🔍
10/29/2024 +1665 days 🔍

Sourcesinfo

Vendor: fortinet.com

Advisory: fortiguard.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2019-17657 (🔍)
GCVE (CVE): GCVE-0-2019-17657
GCVE (VulDB): GCVE-100-152823

Entryinfo

Created: 04/08/2020 07:18
Updated: 10/29/2024 02:38
Changes: 04/08/2020 07:18 (37), 04/08/2020 07:23 (17), 10/07/2020 14:34 (1), 10/29/2024 02:38 (18)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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