adns up to 1.5.1 Data Structure memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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9.6$0-$5k0.00

Summaryinfo

A vulnerability has been found in adns up to 1.5.1 and classified as critical. Affected is an unknown function of the component Data Structure Handler. This manipulation causes memory corruption. This vulnerability appears as CVE-2017-9109. The attack may be initiated remotely. There is no available exploit. The affected component should be upgraded.

Detailsinfo

A vulnerability has been found in adns up to 1.5.1 and classified as very critical. Affected by this vulnerability is an unknown part of the component Data Structure Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

An issue was discovered in adns before 1.5.2. It fails to ignore apparent answers before the first RR that was found the first time. when this is fixed, the second answer scan finds the same RRs at the first. Otherwise, adns can be confused by interleaving answers for the CNAME target, with the CNAME itself. In that case the answer data structure (on the heap) can be overrun. With this fixed, it prefers to look only at the answer RRs which come after the CNAME, which is at least arguably correct.

The weakness was presented 04/21/2023. It is possible to read the advisory at lists.opensuse.org. This vulnerability is known as CVE-2017-9109 since 05/21/2017. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 04/21/2023).

Upgrading to version 1.5.2 eliminates this vulnerability.

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

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.6

VulDB Base Score: 9.8
VulDB Temp Score: 9.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: adns 1.5.2

Timelineinfo

05/21/2017 🔍
04/21/2023 +2161 days 🔍
04/21/2023 +0 days 🔍
05/15/2023 +24 days 🔍

Sourcesinfo

Advisory: FEDORA-2020-530188bf36
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2017-9109 (🔍)
GCVE (CVE): GCVE-0-2017-9109
GCVE (VulDB): GCVE-100-227083

Entryinfo

Created: 04/21/2023 22:49
Updated: 05/15/2023 16:09
Changes: 04/21/2023 22:49 (56), 05/15/2023 16:09 (1)
Complete: 🔍
Cache ID: 216::103

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