🛡️ CVE-2025-59958
🟡 CVSS 6.5 — Medium ✅ No Known Exploit CWE-754 NVD
6.5
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

An Improper Check for Unusual or Exceptional Conditions vulnerability in the Packet Forwarding Engine (PFE) of Juniper Networks Junos OS Evolved on PTX Series allows an unauthenticated, network-based attacker to cause impact to confidentiality and availability. When an output firewall filter is configured with one or more terms where the action is 'reject', packets matching these terms are erroneously sent to the Routing Engine (RE) and further processed there. Processing of these packets will consume limited RE resources. Also responses from the RE back to the source of this traffic could reveal confidential information about the affected device. This issue only applies to firewall filters applied to WAN or revenue interfaces, so not the mgmt or lo0 interface of the routing-engine, nor any input filters. This issue affects Junos OS Evolved on PTX Series: * all versions before 22.4R3-EVO, * 23.2 versions before 23.2R2-EVO.

Details

Severity MEDIUM
CVSS Score 6.5
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L
CWE CWE-754
Public Exploit âś… No
Source NVD
Published 2025-10-09
Updated 2026-06-02
Modified 2026-01-23
Fix URL N/A

Affected Packages

Software From version Fixed in
junos-os-evolved — —

References

Similar Threats

Site Security Check

Concerned your site may already be targeted?

BotEraser analyzes incoming traffic patterns and helps identify bot behavior consistent with known exploit attempts.

Check My Site Free →

No credit card required  Â·  Results in minutes

ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.