Hacker Leaks 2.3M WIRED Subscriber Records, Threatens 40M More from Condé Nast

WIRED Magazine Suffers Data Leak of 2.3 Million Subscribers; Hacker Blames Ignored Vulnerability Reports

HIGH
December 30, 2025
5m read
Data BreachThreat ActorVulnerability

Impact Scope

People Affected

2.3 million subscribers (with 40 million more threatened)

Affected Companies

WIREDCondé Nast

Industries Affected

Media and Entertainment

Related Entities

Threat Actors

Lovely

Organizations

Products & Tech

The New YorkerVogueVanity Fair

Full Report

Executive Summary

On December 29, 2025, it was confirmed that a threat actor using the alias "Lovely" leaked a database of 2.3 million WIRED magazine subscribers on a hacking forum. The actor claims the data leak is a direct result of parent company Condé Nast ignoring responsible disclosure attempts regarding security vulnerabilities for over a month. The leaked data contains 2,366,576 records, including unique email addresses, user IDs, and for a subset of users, more sensitive PII like full names, phone numbers, and mailing addresses. The threat actor has further threatened to release an additional 40 million records allegedly stolen from other high-profile Condé Nast brands, including The New Yorker, Vogue, and Vanity Fair. The incident highlights the risks of ignoring security researcher outreach and the potential for reputational damage and widespread data exposure.


Threat Overview

The threat actor, "Lovely," appears to have transitioned from a gray-hat security researcher to a black-hat data extortionist. After their attempts to report vulnerabilities to Condé Nast were allegedly ignored, they chose to weaponize their findings by leaking the data publicly.

The Leaked Data:

  • Volume: 2,366,576 records.
  • Content: Primarily email addresses and internal user IDs. A smaller, unquantified portion includes full names, phone numbers, and physical addresses.
  • Timeline: The data appears to be historical, with timestamps ranging from 1996 to September 2025, suggesting a compromise of a comprehensive subscriber database.

The Threat:

  • Escalation: The actor has threatened to leak a much larger dataset of 40 million records from other Condé Nast properties, indicating a potentially systemic vulnerability across the company's digital assets.
  • Extortion: While not explicitly demanding money, the act of leaking data in retaliation for being ignored is a form of public shaming and extortion.

Technical Analysis

Security researchers analyzing the incident believe the attacker likely exploited common web application vulnerabilities. The most probable attack vectors are:

  • Insecure Direct Object Reference (IDOR): (T1087) The attacker may have found a way to access user records by manipulating a user ID parameter in a URL or API call (e.g., changing ?user_id=123 to ?user_id=124) without proper authorization checks.
  • Broken Access Control: (T1098) The application may have had endpoints that exposed user data without verifying that the requester was an authenticated and authorized administrator.

The attacker likely wrote a script to iterate through user IDs or other identifiers to scrape the entire database over time (T1119). The wide range of timestamps in the data suggests access to a production or archival database rather than just a front-end system.

Impact Assessment

  • For Subscribers: The 2.3 million individuals in the leak are now at an increased risk of targeted phishing attacks, spam, and identity theft, especially for those whose full PII was exposed. The data has been added to the Have I Been Pwned service, which will notify affected users.
  • For Condé Nast: The company faces significant reputational damage, not only for the breach itself but for allegedly ignoring a security researcher's warnings. This can erode trust with both customers and the security community. If the 40 million additional records are leaked, the fallout will be exponentially worse, potentially leading to regulatory investigations (e.g., under GDPR or CCPA) and class-action lawsuits.
  • Operational Impact: The incident forces the company into a costly incident response cycle, including forensic investigation, public relations management, and providing identity theft protection to affected users.

Detection & Response

Detection:

  • API Monitoring: Monitor API endpoints for anomalous usage patterns, such as a single IP address or user account making an abnormally high number of requests to user data endpoints in a short period.
  • Log Analysis: Analyze web server and application logs for signs of forced browsing or parameter manipulation indicative of IDOR attacks. Look for sequential access patterns against user IDs.

Response:

  • Vulnerability Remediation: Condé Nast must immediately identify and patch the underlying vulnerabilities across all its web properties.
  • Public Disclosure: Issue a clear and transparent public statement about the breach and the steps being taken to protect users.
  • User Notification: Directly notify all affected subscribers and offer complimentary credit monitoring and identity theft protection services.
  • Establish a Vulnerability Disclosure Program (VDP): Create a clear, public, and responsive channel for security researchers to report vulnerabilities (e.g., a security@ email address, a bug bounty program).

Mitigation

  1. Implement a Vulnerability Disclosure Program (VDP): (M1053) Establishing a formal, well-publicized VDP or bug bounty program provides a constructive channel for researchers like "Lovely" to report findings. This turns potential adversaries into allies and allows the company to fix flaws before they are exploited or publicly disclosed.
  2. Secure Coding Practices: (M1013) Developers must be trained in secure coding practices to prevent common vulnerabilities like IDOR and broken access control. All code should be subject to security reviews and static/dynamic analysis (SAST/DAST) before deployment.
  3. Centralized Access Control: Implement and enforce strong, centralized access control checks on all API endpoints and web pages that handle sensitive user data. Every request must be validated to ensure the authenticated user has the explicit right to access the requested data.
  4. Rate Limiting: Apply rate limiting to APIs that return user data to prevent mass scraping. For example, limit an IP address to a few hundred requests per minute to slow down and detect automated data collection attempts.

Timeline of Events

1
November 20, 2025
Approximate date when threat actor 'Lovely' began attempting to report vulnerabilities to Condé Nast.
2
December 20, 2025
The threat actor leaks the 2.3 million WIRED subscriber records on a hacking forum.
3
December 29, 2025
News outlets widely report on the data leak and the hacker's threats.
4
December 30, 2025
This article was published

MITRE ATT&CK Mitigations

Training developers on secure coding practices to prevent common web vulnerabilities like Insecure Direct Object Reference (IDOR).

Establishing a clear and responsive channel for security researchers to report vulnerabilities, preventing them from resorting to public disclosure.

Properly configuring web applications and APIs to enforce strict access control on every request for sensitive data.

Mapped D3FEND Techniques:

D3FEND Defensive Countermeasures

The root cause of this public data leak, according to the attacker, was the lack of a responsive channel for reporting security flaws. The most effective countermeasure for Condé Nast and other large organizations is to implement a formal, public, and well-managed Vulnerability Disclosure Program (VDP). This involves creating a dedicated security.txt file, a clear policy page on their website, and a monitored inbox (e.g., security@condenast.com). A VDP provides a safe harbor for researchers and a structured process for intake, triage, and remediation of vulnerabilities. By engaging with the security community constructively, companies can turn potential adversaries into allies, fix bugs before they are exploited, and avoid the reputational and financial damage of a public breach like this one.

To prevent the mass data scraping that led to this breach, Condé Nast should implement robust access pattern analysis on its user-facing APIs and applications. This defense focuses on detecting and blocking the automated techniques used to exploit IDOR or broken access control flaws. The system should be configured to detect and alert on anomalous behavior, such as a single IP address or API key making thousands of sequential requests to a user profile endpoint (e.g., api.wired.com/users/1, api.wired.com/users/2, etc.). Upon detecting such a pattern, the system should automatically apply temporary blocks or stricter rate limits to the offending source, effectively stopping the data exfiltration in its tracks. This moves beyond simple rate limiting to intelligent, behavior-based blocking.

The core technical failure appears to be in the application's authorization logic. Application hardening must be a priority. This requires a shift-left security approach where developers are trained to never trust user-supplied input. Every single API endpoint or web page that accesses a user's data must re-validate the session token or API key to ensure the requester is authorized to view that specific data object. For example, when a user requests users/123, the backend code must not only check if the user is logged in, but also verify that the logged-in user's ID is 123. This practice of centralized, mandatory access control checks, enforced by the application framework, is the fundamental defense against IDOR vulnerabilities.

Sources & References

Hacker Claims Theft of 40 Million Condé Nast Records After Wired Data Leak
SecurityWeek (securityweek.com) December 29, 2025
WIRED Data Leak Exposes 2.3M Users Amid Broader Claims
SOCRadar (socradar.io) December 29, 2025
Hacker claims to leak WIRED database with 2.3 million records
BleepingComputer (bleepingcomputer.com) December 29, 2025

Article Author

Jason Gomes

Jason Gomes

• Cybersecurity Practitioner

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.

Threat Intelligence & AnalysisSecurity Orchestration (SOAR/XSOAR)Incident Response & Digital ForensicsSecurity Operations Center (SOC)SIEM & Security AnalyticsCyber Fusion & Threat SharingSecurity Automation & IntegrationManaged Detection & Response (MDR)

Tags

Data LeakHackerWIREDCondé NastVulnerability DisclosureIDORPII

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