Palo Alto Networks Panorama Log Processing stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 2.95- |
Summary
A vulnerability was found in Palo Alto Networks Panorama. It has been rated as critical. The affected element is an unknown function of the component Log Processing. The manipulation leads to stack-based overflow. This vulnerability is documented as CVE-2026-0318. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in Palo Alto Networks Panorama (version unknown). It has been rated as critical. This issue affects an unknown function of the component Log Processing. The manipulation with an unknown input leads to a stack-based overflow vulnerability. Using CWE to declare the problem leads to CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). Impacted is availability. The summary by CVE is:
A stack-based buffer overflow vulnerability in the log processing functionality of Palo Alto Networks PAN-OS® software on Panorama enables an attacker to cause a denial of service (DoS) condition. Repeated attempts to trigger this condition result in the Panorama entering maintenance mode. Cloud NGFW, Prisma® Access, and standalone PAN-OS firewalls are not affected by this vulnerability.
It is possible to read the advisory at security.paloaltonetworks.com. The identification of this vulnerability is CVE-2026-0318 since 11/03/2025. The exploitation is known to be easy. The attack may be initiated remotely. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/14/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.5
VulDB Base Score: 6.5
VulDB Temp Score: 6.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
11/03/2025 CVE reserved10/14/2026 Advisory disclosed
10/14/2026 VulDB entry created
10/14/2026 VulDB entry last update
Sources
Advisory: security.paloaltonetworks.comStatus: Not defined
CVE: CVE-2026-0318 (🔒)
GCVE (CVE): GCVE-0-2026-0318
GCVE (VulDB): GCVE-100-420371
Entry
Created: 10/14/2026 22:37Changes: 10/14/2026 22:37 (69)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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