Techniques for multi-tenant vulnerability scanning utilizing sensitive data
A method for scalable vulnerability detection is provided. The method includes selecting at least a workload of a plurality of workloads deployed in a first cloud environment for inspection, wherein the workload includes a first volume; generating in a remote cluster an inspection node, the inspection node including at least a first disk, wherein the remote cluster provisions inspection nodes in response to demand for inspection nodes; generating a persistent volume (PV) on which the at least a first disk is mounted, wherein the at least a first disk is generated from a snapshot of the first volume; and generating a persistent volume claim (PVC) of the PV for an inspector workload, wherein the inspector workload is configured to inspect the PV for an object, and wherein inspector workloads are provisioned in response to demand for inspector workloads.
1 . A method for detecting a vulnerable entity having sensitive data deployed in a computing environment, comprising:
initiating inspection of a workload deployed in a computing environment for a cybersecurity object;
detecting the cybersecurity object on the workload;
determining that the workload is a vulnerable workload;
initiating inspection of the workload for sensitive data in response to determining that the workload is vulnerable; and
storing a representation of the workload, the vulnerability, and the sensitive data in a security database.
2 . The method of claim 1 , further comprising:
provisioning an inspector configured to inspect for the cybersecurity object.
3 . The method of claim 1 , further comprising:
provisioning an inspector configured to inspect for sensitive data.
4 . The method of claim 1 , further comprising:
detecting a disk associated with the workload;
generating a copy of the disk; and
initiating inspection on the copy of the disk.
5 . The method of claim 4 , further comprising:
generating a persistent volume claim (PVC) to the copy of the disk.
6 . The method of claim 5 , further comprising:
releasing the PVC in response to determining that inspection is complete.
7 . The method of claim 1 , further comprising:
detecting a security finding on the workload.
8 . The method of claim 7 , wherein the security finding is any one of: a package, a version, a misconfiguration, and a combination thereof.
9 . The method of claim 1 , further comprising:
inspecting the workload for any one of: a secret, a nested workload, an application, a certificate, a policy, a data object, a file, an IAM configuration, a network configuration, an asset inventory, and a combination thereof.
10 . A non-transitory computer-readable medium storing a set of instructions for detecting a vulnerable entity having sensitive data deployed in a computing environment, the set of instructions comprising:
one or more instructions that, when executed by one or more processors of a device, cause the device to:
initiate inspection of a workload deployed in a computing environment for a cybersecurity object;
detect the cybersecurity object on the workload;
determine that the workload is a vulnerable workload;
initiate inspection of the workload for sensitive data in response to determining that the workload is vulnerable; and
store a representation of the workload, the vulnerability, and the sensitive data in a security database.
11 . A system for detecting a vulnerable entity having sensitive data deployed in a computing environment comprising:
a processing circuitry;
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
initiate inspection of a workload deployed in a computing environment for a cybersecurity object;
detect the cybersecurity object on the workload;
determine that the workload is a vulnerable workload;
initiate inspection of the workload for sensitive data in response to determining that the workload is vulnerable; and
store a representation of the workload, the vulnerability, and the sensitive data in a security database.
12 . The system of claim 11 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
provision an inspector configured to inspect for the cybersecurity object.
13 . The system of claim 11 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
provision an inspector configured to inspect for sensitive data.
14 . The system of claim 11 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
detect a disk associated with the workload;
generate a copy of the disk; and
initiate inspection on the copy of the disk.
15 . The system of claim 14 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
generate a persistent volume claim (PVC) to the copy of the disk.
16 . The system of claim 15 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
release the PVC in response to determining that inspection is complete.
17 . The system of claim 11 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
detect a security finding on the workload.
18 . The system of claim 17 , wherein the security finding is any one of:
a package, a version, a misconfiguration, and a combination thereof.
19 . The system of claim 11 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
inspect the workload for any one of:
a secret, a nested workload, an application, a certificate, a policy, a data object, a file, an IAM configuration, a network configuration, an asset inventory, and a combination thereof.