Vulnerability-Lookup

VAR-201807-0310

Vulnerability from variot - Updated: 2024-11-23 22:38

When an SRX Series device is configured to use HTTP/HTTPS pass-through authentication services, a client sending authentication credentials in the initial HTTP/HTTPS session is at risk that these credentials may be captured during follow-on HTTP/HTTPS requests by a malicious actor through a man-in-the-middle attack or by authentic servers subverted by malicious actors. FTP, and Telnet pass-through authentication services are not affected. Affected releases are Juniper Networks SRX Series: 12.1X46 versions prior to 12.1X46-D67 on SRX Series; 12.3X48 versions prior to 12.3X48-D25 on SRX Series; 15.1X49 versions prior to 15.1X49-D35 on SRX Series. Juniper Networks SRX Series devices contain vulnerabilities related to certificate and password management.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Juniper Junos Space is prone to an information-disclosure vulnerability. An attacker can exploit this issue to perform man-in-the-middle attacks to obtain sensitive information, and perform unauthorized actions. Successful exploits will lead to other attacks. Junos OS is a set of operating systems running on it. A security vulnerability exists in Junos OS on Juniper SRX Series

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CVE-2018-0025 (GCVE-0-2018-0025)

Vulnerability from cvelistv5 – Published: 2018-07-11 18:00 – Updated: 2024-09-16 17:18

Title

Junos OS: SRX Series: Credentials exposed when using HTTP and HTTPS Firewall Pass-through User Authentication

Summary

Severity

6.1 (Medium)


                        
                          CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:N/A:N

CWE

CWE-319 - Cleartext Transmission of Sensitive Information.
CWE-300 - Channel Accessible by Non-Endpoint ('Man-in-the-Middle')

Assigner

juniper CNA under the mitre root

CNA scorecard B 85/100 over 175 records in the last 180 days details

References

6 references

URL	Tags
https://www.juniper.net/documentation/en_US/junos…	x_refsource_MISC
http://www.securityfocus.com/bid/104719	vdb-entryx_refsource_BID
http://www.securitytracker.com/id/1041316	vdb-entryx_refsource_SECTRACK
https://www.juniper.net/documentation/en_US/junos…	x_refsource_MISC
https://www.juniper.net/documentation/en_US/junos…	x_refsource_MISC
https://kb.juniper.net/JSA10858	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Juniper Networks	Junos OS	Affected: 12.1X46 , < 12.1X46-D67 (custom) Affected: 12.3X48 , < 12.3X48-D25 (custom) Affected: 15.1X49 , < 15.1X49-D35 (custom)

Date Public

2018-07-11 00:00

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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