dreizehnutters

How Automation Transforms the Initial Phase of Internal Vulnerability Assessments

In this post, I'll walk you through how I’ve automated the crucial first tasks of an internal vulnerability assessment using a collection of custom scripts I’ve developed over the years. These scripts are designed to streamline the initial phase of the assessment process, demonstrating how powerful automation can be in reducing manual effort, accelerating scans, and improving overall efficiency right from the start.

The Need for Automation

Internal vulnerability assessments are crucial for identifying weaknesses within network infrastructure before they can be exploited by malicious actors. However, the manual effort required to initiate scans, gather results, and perform preliminary analysis can be time-consuming, resource-intensive and are mostly repetitive. Automation offers a solution to this challenge, allowing me to kickstart the assessment process and focus my attention on critical analysis and remediation tasks

	//template by @beesandbombs edited by @13utters

	int[][] result;
	float t, c;
	float ease(float p) {
	return 3pp - 2pp*p;
	}

	float ease(float p, float g) {
	if (p < 0.5)

	# linux ldapsearch parser for bofhound, useful for environments that have ldap signing/binding and require kerberos auth.
	# add support for msDS-KeyCredentialLink

	"""
	$ ldapsearch -LLL -o ldif-wrap=no -E '!1.2.840.113556.1.4.801=::MAMCAQc=' -H ldap://dc.fake.com -Y GSSAPI -N -b "DC=fake,DC=com" "(&(objectClass=*))" > ldapsearch_out.txt

	SASL/GSSAPI authentication started
	SASL username: [email protected]
	SASL SSF: 256
	SASL data security layer installed.