Nlnet Labs nsd 4.2.0 nsd-checkzone dname.c dname_concatenate memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Nlnet Labs nsd 4.2.0 and classified as critical. Affected is the function dname_concatenate of the file dname.c of the component nsd-checkzone. Performing a manipulation results in memory corruption.
This vulnerability is identified as CVE-2019-13207. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in Nlnet Labs nsd 4.2.0 (Domain Name Software). It has been classified as critical. This affects the function dname_concatenate of the file dname.c of the component nsd-checkzone. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
nsd-checkzone in NLnet Labs NSD 4.2.0 has a Stack-based Buffer Overflow in the dname_concatenate() function in dname.c.
The weakness was released 07/03/2019 (Website). The advisory is shared at lists.fedoraproject.org. This vulnerability is uniquely identified as CVE-2019-13207 since 07/03/2019. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/03/2019 🔍07/03/2019 🔍
07/04/2019 🔍
10/17/2023 🔍
Sources
Advisory: 20Status: Not defined
CVE: CVE-2019-13207 (🔍)
GCVE (CVE): GCVE-0-2019-13207
GCVE (VulDB): GCVE-100-137301
Entry
Created: 07/04/2019 11:16Updated: 10/17/2023 08:59
Changes: 07/04/2019 11:16 (56), 06/30/2020 20:32 (1), 10/17/2023 08:58 (3), 10/17/2023 08:59 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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