Agatasoft Auto PingMaster 1.5 stack-based overflow

CVSS Meta Temp Score
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CTI Interest Score
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6.6$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Agatasoft Auto PingMaster 1.5. This affects an unknown part. Performing a manipulation results in stack-based overflow. This vulnerability is cataloged as CVE-2018-25360. The attack must be initiated from a local position. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability classified as critical has been found in Agatasoft Auto PingMaster 1.5. This affects an unknown functionality. The manipulation with an unknown input leads to a stack-based overflow vulnerability. CWE is classifying the issue as 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). This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

AgataSoft Auto PingMaster 1.5 contains a stack-based buffer overflow vulnerability in the Trace Route host name field that allows local attackers to execute arbitrary code by triggering structured exception handling. Attackers can craft a malicious ping.txt file with shellcode and jump instructions that overwrite the SEH handler pointer to achieve code execution when the file contents are pasted into the application.

The weakness was shared by bzyo as 45151. It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2018-25360 since 05/24/2026. The exploitability is told to be easy. Attacking locally is a requirement. Technical details are unknown but a public exploit is available.

The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept.

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 EUVD (EUVD-2018-21884). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.8
VulDB Meta Temp Score: 6.6

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.4
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Stack-based overflow
CWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/24/2026 CVE reserved
05/25/2026 +1 days Advisory disclosed
05/25/2026 +0 days VulDB entry created
05/25/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: 45151
Researcher: bzyo
Status: Not defined

CVE: CVE-2018-25360 (🔒)
GCVE (CVE): GCVE-0-2018-25360
GCVE (VulDB): GCVE-100-365499
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 05/25/2026 17:09
Updated: 05/25/2026 20:38
Changes: 05/25/2026 17:09 (78), 05/25/2026 20:38 (1)
Complete: 🔍
Cache ID: 216::103

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

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