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CVE-2017-9103

9.8 · CRITICAL

An issue was discovered in adns before 1.5.2.

Published Jun 18, 2020CWE-119EPSS 2.30%

Overview

CVE-2017-9103 is a critical-severity vulnerability. It was published on June 18, 2020 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

An issue was discovered in adns before 1.5.2. pap_mailbox822 does not properly check st from adns__findlabel_next. Without this, an uninitialised stack value can be used as the first label length. Depending on the circumstances, an attacker might be able to trick adns into crashing the calling program, leaking aspects of the contents of some of its memory, causing it to allocate lots of memory, or perhaps overrunning a buffer. This is only possible with applications which make non-raw queries for SOA or RP records.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2017-9103?

CVE-2017-9103 is a critical-severity vulnerability. It was published on June 18, 2020 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

How severe is CVE-2017-9103?

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-9103?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2017-9103?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-9103 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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