Query: Multiple failed authentications followed by Wi-Fi Networks
Matching passage: T1669 Wi-Fi Networks. Tactics: initial access. Description: Adversaries may gain initial access to target systems by connecting to wireless networks. They may accomplish this by exploiting open Wi-Fi networks used by target devices or by accessing secured Wi-Fi networks — requiring [Valid Accounts](https://attack.mitre.org/techniques/T1078) — belonging to a target organization.(Citation: DOJ GRU Charges 2018)(Citation: Nearest Neighbor Volexity) Establishing a connection to a Wi-Fi access point requires a certain level of proximity to both discover and maintain a stable network connection. Adversaries may establish a wireless connection through various methods, such as by physically positioning themselves near a Wi-Fi network to conduct close access operations. To bypass the need for physical proximity, adversaries may attempt to remotely compromise nearby third-party systems that have both wired and wireless network connections available (i.e., dual-homed systems). These third-party compromised devices can then serve as a bridge to connect to a target’s Wi-Fi network.(Citation: Nearest Neighbor Volexity) Once an initial wireless connection is achieved, adversaries may leverage this access for follow-on activities in the victim network or further targeting of specific devices on the network. Adversaries may perform [Network Sniffing](https://attack.mitre.org/techniques/T1040) or [Adversary-in-the-Middle](https://attack.mitre.org/techniques/T1557) activities for [Credential Access](https://attack.mitre.org/tactics/TA0006) or [Discovery](https://attack.mitre.org/tactics/TA0007).
Near-miss passage: T1195.001 Compromise Software Dependencies and Development Tools. Tactics: initial access. Description: Adversaries may manipulate software dependencies and development tools prior to receipt by a final consumer for the purpose of data or system compromise. Applications often depend on external software to function properly. Popular open source projects that are used as dependencies in many applications, such as pip and NPM packages, may be targeted as a means to add malicious code to users of the dependency.(Citation: Trendmicro NPM Compromise)(Citation: Bitdefender NPM Repositories Compromised 2021)(Citation: MANDVI Malicious npm and PyPI Packages Disguised) This may also include abandoned packages, which in some cases could be re-registered by threat actors after being removed by adversaries.(Citation: The Hacker News PyPi Revival Hijack 2024) Adversaries may also employ "typosquatting" or name-confusion by choosing names similar to existing popular libraries or packages in order to deceive a user.(Citation: Ahmed Backdoors in Python and NPM Packages)(Citation: Meyer PyPI Supply Chain Attack Uncovered)(Citation: Checkmarx-oss-seo) Additionally, CI/CD pipeline components, such as GitHub Actions, may be targeted in order to gain access to the building, testing, and deployment cycles of an application.(Citation: Unit 42 Palo Alto GitHub Actions Supply Chain Attack 2025) By adding malicious code into a GitHub action, a threat actor may be able to collect runtime credentials (e.g., via [Proc Filesystem](https://attack.mitre.org/techniques/T1003/007)) or insert further malicious components into the build pipelines for a second-order supply chain compromise.(Citation: OWASP CICD-SEC-4) As GitHub Actions are often dependent on other GitHub Actions, threat actors may be able to infect a large number of repositories via the compromise of a single Action.(Citation: Palo Alto Networks GitHub Actions Worm 2023) Targeting may be specific to a desired victim set or may be distributed to a broad set of consumers but only move on to additional tactics on specific victims.