Detection: AWS Unusual Number of Failed Authentications From Ip

Updated Date: 2024-05-24 ID: 0b5c9c2b-e2cb-4831-b4f1-af125ceb1386 Author: Bhavin Patel, Splunk Type: Anomaly Product: Splunk Enterprise Security

Description

The following analytic identifies a single source IP failing to authenticate into the AWS Console with multiple valid users. It uses CloudTrail logs and calculates the standard deviation for source IP, leveraging the 3-sigma rule to detect unusual numbers of failed authentication attempts. This behavior is significant as it may indicate a Password Spraying attack, where an adversary attempts to gain initial access or elevate privileges. If confirmed malicious, this activity could lead to unauthorized access, data breaches, or further exploitation within the AWS environment.

Search

1`cloudtrail` eventName=ConsoleLogin action=failure 
2| bucket span=10m _time 
3| stats  dc(_raw) AS distinct_attempts values(user_name) as tried_accounts by _time, src_ip 
4| eventstats  avg(distinct_attempts) as avg_attempts , stdev(distinct_attempts) as ip_std by _time 
5| eval  upperBound=(avg_attempts+ip_std*3) 
6| eval  isOutlier=if(distinct_attempts > 10 and distinct_attempts >= upperBound, 1, 0) 
7| where isOutlier = 1 
8|`aws_unusual_number_of_failed_authentications_from_ip_filter`

Data Source

Name	Platform	Sourcetype	Source	Supported App
AWS CloudTrail ConsoleLogin	AWS	`'aws:cloudtrail'`	`'aws_cloudtrail'`	N/A

Macros Used

Name	Value
cloudtrail	`sourcetype=aws:cloudtrail`
aws_unusual_number_of_failed_authentications_from_ip_filter	`search *`

aws_unusual_number_of_failed_authentications_from_ip_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK

+ Kill Chain Phases

+ NIST

+ CIS

- Threat Actors

ID	Technique	Tactic
T1586	Compromise Accounts	Resource Development
T1586.003	Cloud Accounts	Resource Development
T1110	Brute Force	Credential Access
T1110.003	Password Spraying	Credential Access
T1110.004	Credential Stuffing	Credential Access

KillChainPhase.EXPLOITAITON

KillChainPhase.WEAPONIZATION

NistCategory.DE_AE

Cis18Value.CIS_10

APT29

APT28

APT38

APT39

DarkVishnya

Dragonfly

FIN5

Fox Kitten

HEXANE

OilRig

Turla

APT28

APT29

APT33

Chimera

HEXANE

Lazarus Group

Leafminer

Silent Librarian

Chimera

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting	Value
Disabled	true
Cron Schedule	`0 * * * *`
Earliest Time	`-70m@m`
Latest Time	`-10m@m`
Schedule Window	`auto`
Creates Risk Event	True

This configuration file applies to all detections of type anomaly. These detections will use Risk Based Alerting.

Implementation

You must install Splunk Add-on for AWS in order to ingest Cloudtrail. We recommend the users to try different combinations of the bucket span time and the calculation of the upperBound field to tune this search according to their environment

Known False Positives

No known false postives for this detection. Please review this alert

Associated Analytic Story

AWS Identity and Access Management Account Takeover

Risk Based Analytics (RBA)

Risk Message	Risk Score	Impact	Confidence
Unusual number of failed console login attempts (Count: $distinct_attempts$) against users from IP Address - $src_ip$	54	60	90

The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

Detection Testing

Test Type	Status	Dataset	Source	Sourcetype
Validation	✅ Passing	N/A	N/A	N/A
Unit	✅ Passing	Dataset	`aws_cloudtrail`	`aws:cloudtrail`
Integration	✅ Passing	Dataset	`aws_cloudtrail`	`aws:cloudtrail`

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

Source: GitHub | Version: 3