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Analyze » Happy Hacking Space » HAP1770036164

Incident Score: Analysis & Impact (HAP1770036164)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-12
Company Score Before Incident759 / 1000
Company Score After Incident747 / 1000
INCIDENT NUMBERHAP1770036164
Type of Cyber IncidentVulnerability
ATTACK VECTORCRLF Injection
DATA EXPOSEDNA
INCIDENT DATE26/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Happy Hacking Space's Vulnerability and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Happy Hacking Space Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Happy Hacking Space breach identified under incident ID HAP1770036164.

The analysis begins with a detailed overview of Happy Hacking Space's information like the linkedin page: https://www.linkedin.com/company/happyhackingspace, the number of followers: 692, the industry type: Non-profit Organizations and the number of employees: 4 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 759 and after the incident was 747 with a difference of -12 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Happy Hacking Space and their customers.

On 27 January 2026, HappyHackingSpace disclosed Vulnerability Exploitation issues under the banner "Critical CRLF Injection Vulnerability in Gakido HTTP Client Library (CVE-2026-24489)".

A critical vulnerability in Gakido, an HTTP client library developed by HappyHackingSpace, allows attackers to inject arbitrary HTTP headers via CRLF (Carriage Return Line Feed) sequences.

The disruption is felt across the environment, affecting HTTP client library (Gakido).

In response, moved swiftly to contain the threat with measures like Patch released (version 0.1.1-1bc6019), and began remediation that includes Upgrade to patched version (0.1.1-1bc6019), and stakeholders are being briefed through Public disclosure via GitHub advisory (GHSA-gcgx-chcp-hxp9).

The case underscores how teams are taking away lessons such as Critical need for input sanitization in HTTP client libraries, especially those handling network primitives, and recommending next steps like Organizations using Gakido should upgrade to the patched version (0.1.1-1bc6019) immediately to mitigate risks, with advisories going out to stakeholders covering Organizations handling sensitive HTTP communications or accepting user-supplied headers are urged to upgrade to the patched version.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating critical CRLF Injection Vulnerability in Gakido HTTP Client Library. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating attackers can inject arbitrary HTTP headers via CRLF sequences. Under the Defense Evasion tactic, the analysis identified Modify Authentication Process (T1556) with moderate to high confidence (80%), supported by evidence indicating session fixation by bypassing server-side security controls and Indicator Removal: File Deletion (T1070.004) with moderate confidence (50%), supported by evidence indicating cache poisoning through injected cache-control headers. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate to high confidence (70%), supported by evidence indicating session fixation by bypassing server-side security controls. Under the Collection tactic, the analysis identified Data Staged: Local Data Staging (T1074.001) with moderate confidence (60%), supported by evidence indicating hTTP response manipulation via proxy configurations. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating unauthorized header injection in HTTP requests. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Execution
Exploitation for Client Execution (70%)
Defense Evasion
Modify Authentication Process (80%)
Indicator Removal: File Deletion (50%)
Credential Access
Steal Web Session Cookie (70%)
Collection
Data Staged: Local Data Staging (60%)
Command and Control
Application Layer Protocol: Web Protocols (80%)

Sources & References