Nmap 7.70 XML File recursion

CVSS Meta Temp Score
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CTI Interest Score
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5.0$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in Nmap 7.70. Affected by this vulnerability is an unknown functionality of the component XML File Handler. This manipulation causes recursion. The identification of this vulnerability is CVE-2018-25282. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability has been found in Nmap 7.70 and classified as problematic. Affected by this vulnerability is an unknown functionality of the component XML File Handler. The manipulation with an unknown input leads to a recursion vulnerability. The CWE definition for the vulnerability is CWE-674. The product does not properly control the amount of recursion that takes place, consuming excessive resources, such as allocated memory or the program stack. As an impact it is known to affect availability. The summary by CVE is:

Nmap 7.70 contains a denial of service vulnerability that allows local attackers to crash the application by processing malicious XML files with exponential entity expansion. Attackers can create a crafted XML file with nested entity definitions and open it through ZenMap's scan import functionality to cause the program to consume excessive system resources and crash.

The weakness was shared by Gionathan Reale as 45357. The advisory is shared at exploit-db.com. This vulnerability is known as CVE-2018-25282 since 04/26/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details are unknown but a public exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.

It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 325244 (Linux Distros Unpatched Vulnerability : CVE-2018-25282), which helps to determine the existence of the flaw in a target environment.

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 databases at Tenable (325244) and EUVD (EUVD-2018-21802). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

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: 5.2
VulDB Meta Temp Score: 5.0

VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.2
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Recursion
CWE: CWE-674 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Yes

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

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Nessus ID: 325244
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2018-25282

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

04/26/2026 Advisory disclosed
04/26/2026 +0 days CVE reserved
04/26/2026 +0 days VulDB entry created
07/07/2026 +72 days VulDB entry last update

Sourcesinfo

Advisory: 45357
Researcher: Gionathan Reale
Status: Not defined

CVE: CVE-2018-25282 (🔒)
GCVE (CVE): GCVE-0-2018-25282
GCVE (VulDB): GCVE-100-359689
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20130625

Entryinfo

Created: 04/26/2026 16:02
Updated: 07/07/2026 03:14
Changes: 04/26/2026 16:02 (78), 04/27/2026 01:07 (1), 07/07/2026 03:14 (2)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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