VDB-136803 · CVE-2019-1904 · Qualys 316470

Cisco IOS XE Web UI cross-site request forgery

CVSS Meta Temp Score
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CTI Interest Score
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7.6$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in Cisco IOS XE. The impacted element is an unknown function of the component Web UI. Performing a manipulation results in cross-site request forgery. This vulnerability was named CVE-2019-1904. The attack may be initiated remotely. There is no available exploit. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability, which was classified as problematic, was found in Cisco IOS XE (Router Operating System) (affected version not known). This affects some unknown functionality of the component Web UI. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. This is going to have an impact on integrity. The summary by CVE is:

A vulnerability in the web-based UI (web UI) of Cisco IOS XE Software could allow an unauthenticated, remote attacker to conduct a cross-site request forgery (CSRF) attack on an affected system. The vulnerability is due to insufficient CSRF protections for the web UI on an affected device. An attacker could exploit this vulnerability by persuading a user of the interface to follow a malicious link. A successful exploit could allow the attacker to perform arbitrary actions with the privilege level of the affected user. If the user has administrative privileges, the attacker could alter the configuration, execute commands, or reload an affected device. This vulnerability affects Cisco devices that are running a vulnerable release of Cisco IOS XE Software with the HTTP Server feature enabled. The default state of the HTTP Server feature is version dependent.

The weakness was presented 06/21/2019. This vulnerability is uniquely identified as CVE-2019-1904 since 12/06/2018. 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 commercial vulnerability scanner Qualys is able to test this issue with plugin 316470 (Cisco IOS XE Software Web UI Cross-Site Request Forgery Vulnerability(cisco-sa-20190612-iosxe-csrf)).

Applying a patch is able to eliminate this problem.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CNA Base Score: 8.8
CNA Vector (Cisco Systems, Inc.): 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Cross-site request forgery
CWE: CWE-352 / CWE-862 / CWE-863
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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Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/06/2018 🔍
06/21/2019 +197 days 🔍
06/21/2019 +0 days 🔍
10/07/2023 +1569 days 🔍

Sourcesinfo

Vendor: cisco.com

Advisory: tools.cisco.com
Status: Not defined

CVE: CVE-2019-1904 (🔍)
GCVE (CVE): GCVE-0-2019-1904
GCVE (VulDB): GCVE-100-136803
scip Labs: https://www.scip.ch/en/?labs.20150108

Entryinfo

Created: 06/21/2019 07:46
Updated: 10/07/2023 12:05
Changes: 06/21/2019 07:46 (35), 06/26/2020 16:08 (20), 10/07/2023 11:58 (4), 10/07/2023 12:05 (12)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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