Pentera

Pentera Credential Exposure

About the product

Pentera Credential Exposure is a specialized platform module designed to detect and eliminate threats related to account and credential (passwords, access keys, tokens, etc.) takeover. It uses the latest CTI data on credential leaks – e.g., information about compromised passwords appearing on forums or the dark web. It constantly monitors the public space for login data associated with a given organization (Protect Against Credential Exposure with Pentera). When such data is detected, Pentera Credential Exposure allows you to safely test the exposed credentials in the context of your actual infrastructure. In other words, the module checks “what if an attacker got our passwords?” – it automatically simulates attempts to use stolen login credentials in all relevant attack vectors. It tests, among other things, credential stuffing attacks (mass attempts to log in with stolen passwords on various services), checks password hashes (whether they can be cracked or match passwords in systems), and attempts access using partial credentials (e.g., passwords from previous leaks). All these operations are performed in an isolated and controlled manner so as not to compromise user security or privacy, while reflecting the real actions of cybercriminals in the event of a login data leak. The results of the Credential Exposure module indicate which accounts and passwords are actually at risk, i.e., active in systems and simultaneously available in a leak, as well as the potential damage that could be caused by their use.

Główne zastosowania: The Credential Exposure module is designed for companies that want to prevent attacks that use compromised accounts, such as employee identity theft or unauthorized access to systems using leaked passwords. It is used in password security programs – it allows you to check, for example, whether employees are using passwords that have been leaked from other services (so-called password reuse), or whether the strong password enforcement policy is working (the module will detect passwords that are too simple and vulnerable to cracking). It is also useful in the context of privileged account protection – pentesters can automatically assess whether, for example, a domain administrator’s password has ever been leaked to the network. Pentera Credential Exposure can also be used by security departments for continuous monitoring of the dark web for the appearance of company data (e.g., as part of Threat Intelligence), as well as after data breach incidents to assess the real impact (which accounts to block, where to enforce password changes, etc.).

Advantages of the product

Proactive detection of leaked credentials

Simulation of attacks using compromised accounts

Rapid neutralization of compromised accounts

Strengthened identity security

Benefits of Implementation

Early warning of password leaks: Thanks to integration with threat intelligence sources, the module quickly reports compromised credentials associated with the company. This allows immediate action to be taken (e.g., password reset, account lockout) before the data can be used by attackers.

Realistic assessment of password-related risks: Instead of theoretical considerations, Pentera simulates real attacks using leaked data. This allows security teams to know which leaks are actually dangerous—for example, that a specific password leak allows access to the VPN system. This enables prioritization of fixes, focusing on the most serious threats.

Strengthening password and access policies: Information from the module helps improve account security policies—for example, enforcing faster password rotation, better password complexity, or implementing multi-factor authentication (MFA) where even strong passwords can be leaked. This reduces the risk of a successful identity theft attack.

Reduction of user-induced breaches: Even the best-trained employee can fall victim to phishing or use the same password on different websites. Pentera Credential Exposure minimizes the impact of human error by detecting the consequences of such events (credential leaks) and allowing them to be quickly neutralized (e.g., by deactivating the account).

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