CVE-2016-10577
8.1 · HIGHOverview
CVE-2016-10577 is a high-severity vulnerability affecting ibm ibm_db. It was published on May 29, 2018 and has a CVSS 3.0 base score of 8.1 (HIGH).
This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
ibm_db is an asynchronous/synchronous interface for node.js to IBM DB2 and IBM Informix. ibm_db before 1.0.2 downloads binary resources over HTTP, which leaves it vulnerable to MITM attacks. It may be possible to cause remote code execution (RCE) by swapping out the requested binary with an attacker controlled binary if the attacker is on the network or positioned in between the user and the remote server.
Remediation
Check the references section for vendor advisories and patches from ibm. Update ibm_db to the latest patched version. 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.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| ibm | ibm_db | >= 0, < 1.0.2 | Affected |
References
Frequently Asked Questions
What is CVE-2016-10577?
CVE-2016-10577 is a high-severity vulnerability affecting ibm ibm_db. It was published on May 29, 2018 and has a CVSS 3.0 base score of 8.1 (HIGH).
How severe is CVE-2016-10577?
This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2016-10577?
Check the references section for vendor advisories and patches from ibm. Update ibm_db to the latest patched version. 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-2016-10577?
CyberStrike's AI-powered security agents can automatically detect CVE-2016-10577 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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