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Computer Software/Engineering

Breach intelligence, attack campaigns, and threat reports targeting the Computer Software/Engineering sector.

1833 threat reports
Page 108 of 153

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Computer Software/Engineering Threat Reports

Showing 12851296 / 1833 reports
2024 Ransomware Attack on Global Utility: Speed, Sophistication, and Credential Theft
Impact· high

2024 Ransomware Attack on Global Utility: Speed, Sophistication, and Credential Theft

In March 2024, a leading global utility company suffered a large-scale ransomware attack executed by the BlackBasta threat group. Attackers initially gained entry by exploiting an externally-facing VPN with compromised credentials, bypassing multifactor authentication controls. Upon entry, the threat actors rapidly performed reconnaissance, escalated privileges, and moved laterally using legitimate remote management tools and credential dumping techniques, deploying ransomware payloads across hundreds of critical systems within 48 hours. The incident resulted in massive operational disruptions, including temporary shutdowns of power generation facilities and significant data exfiltration, while the attackers leveraged double extortion to pressure the company into paying a multimillion-dollar ransom. This breach exemplifies the growing sophistication and speed of multi-stage ransomware campaigns targeting critical infrastructure. The incident highlights the importance of pre-encryption detection, intelligence-driven defense, and robust access controls as ransomware groups continue to exploit hybrid environments and rapidly weaponize vulnerabilities.

6 months ago

Kill Chain

IC
Initial Compromise(medium)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(high)
Read Report
Supply Chain RCE Threats in Leading AI/ML Python Libraries (2025-2026)
Impact· medium

Supply Chain RCE Threats in Leading AI/ML Python Libraries (2025-2026)

In January 2026, significant remote code execution (RCE) vulnerabilities were disclosed across leading open-source AI/ML Python libraries maintained by NVIDIA (NeMo), Salesforce (uni2TS), and Apple (ml-flextok). Attackers could craft malicious model files with compromised metadata; upon loading these files via vulnerable libraries, arbitrary code would execute on the host system. These vulnerabilities stemmed from insecure use of third-party serialization/configuration functions—primarily Hydra's instantiate()—without proper validation, enabling supply chain attacks on widely distributed AI models, particularly via public repositories such as HuggingFace. No in-the-wild exploits were confirmed before public disclosure; however, the affected vendors coordinated prompt patches and mitigations throughout 2025. This incident illustrates a growing trend of software supply chain threats cascading into the AI/ML ecosystem. With increased adoption of AI and routine sharing of pretrained models, even safe-seeming formats may introduce unseen risks, underscoring the urgency for security controls, vigilance in model sourcing, and rapid adaptation of secure-by-design principles for both model creators and consumers.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Critical Ni8mare Flaw Exposes 60,000+ n8n Instances to Remote Exploitation
Impact· medium

Critical Ni8mare Flaw Exposes 60,000+ n8n Instances to Remote Exploitation

In January 2026, a critical vulnerability tracked as CVE-2026-21858, dubbed "Ni8mare," was disclosed in n8n, the widely-used open-source workflow automation platform. The flaw, rooted in improper input validation of form file elements, allows unauthenticated remote attackers to seize control of exposed n8n instances by exploiting online workflows. This exposure places sensitive credentials, API keys, and business data at risk across nearly 60,000 instances, with especially high concentrations in the US and Europe. The vulnerability can lead to credential theft, privilege escalation, and even arbitrary command execution, depending on instance configuration. This incident is highly relevant given the broad adoption of low-code and automation platforms in AI and DevOps workflows, making them attractive targets for attackers seeking lateral movement or data exfiltration. The ongoing exposure of thousands of n8n servers underscores the urgent need for robust vulnerability management and secure configuration in automation environments.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Target 2026 Source Code and Git Server Breach Highlights DevSecOps Urgency
Impact· high

Target 2026 Source Code and Git Server Breach Highlights DevSecOps Urgency

In January 2026, Target Corporation experienced a suspected breach of its internal development infrastructure when unknown hackers claimed to have stolen and begun selling portions of Target's private source code. The threat actors posted sample repositories from Target’s Git server on Gitea and advertised access to a much larger (860 GB) archive for sale on dark web forums. The exposed repositories contained sensitive developer documentation, code, and referenced Target engineers and internal systems. Target responded by removing the exposed Gitea repositories and taking its developer Git server offline shortly after the breach was reported. This incident highlights the increasing risk of software supply chain attacks, especially as threat actors target source code and development assets. The breach reflects broader trends of cybercriminals exploiting version control servers and developer tools to exfiltrate proprietary code, putting organizations’ intellectual property, security, and regulatory posture at risk.

6 months ago

Kill Chain

IC
Initial Compromise(medium)
PE
Privilege Escalation(low)
LM
Lateral Movement(low)
C&C
Command & Control(low)
E
Exfiltration(high)
I
Impact(high)
Read Report
Apex Legends Live Character Hijack: 2026 Gaming Platform Breach Explained
Impact· high

Apex Legends Live Character Hijack: 2026 Gaming Platform Breach Explained

In January 2026, Apex Legends players experienced a major security incident where an external threat actor gained unauthorized control over live player characters during matches. The attacker remotely hijacked user avatars, disconnected players from servers, and manipulated in-game identities, temporarily disrupting the gaming experience for tens of thousands. Respawn Entertainment, the game's publisher, confirmed the attack but stated there was no evidence of remote code execution or malware. Investigation pointed to exploitation of privileged backend debugging or admin interfaces, rather than a software vulnerability affecting all client machines. This incident underscores escalating threats targeting large-scale gaming platforms, where privilege escalation and endpoint attacks now rival phishing or malware techniques in their sophistication. With gaming ecosystems becoming lucrative and complex, attackers continue to innovate, highlighting the urgent need for improved internal traffic security and continuous monitoring.

6 months ago

Kill Chain

IC
Initial Compromise(medium)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(low)
I
Impact(high)
Read Report
CISA Orders Critical Patching After Gogs Zero-Day RCE Attacks Hit Hundreds of Servers
Impact· low

CISA Orders Critical Patching After Gogs Zero-Day RCE Attacks Hit Hundreds of Servers

In January 2026, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) issued a directive to all federal agencies to urgently patch a critical remote code execution (RCE) vulnerability (CVE-2025-8110) in Gogs, a popular open-source git service, following multiple waves of active zero-day exploitation. The flaw leveraged a path traversal issue via the PutContents API, allowing authenticated attackers to overwrite files outside repositories—including SSH command configurations—to gain arbitrary code execution. At least 700 internet-facing Gogs servers showed signs of compromise, implicating risks across the federal enterprise. This incident underscores the accelerated threat posed by zero-day exploits targeting software supply chain and collaboration tools exposed to the internet. The increase in attacks against widely used developer platforms, combined with slow patch adoption and the rapid weaponization of vulnerabilities, demands renewed attention to secure configuration, real-time monitoring, and timely security updates.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(high)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(low)
I
Impact(low)
Read Report
GoBruteforcer Botnet Exploits AI-Generated Weak Credentials to Breach Crypto Databases (2026)
Impact· medium

GoBruteforcer Botnet Exploits AI-Generated Weak Credentials to Breach Crypto Databases (2026)

In January 2026, the GoBruteforcer botnet orchestrated a campaign targeting cryptocurrency and blockchain project databases. Attackers exploited weak or default credentials on exposed Linux-based services, including FTP, MySQL, PostgreSQL, and phpMyAdmin, to gain unauthorized access and deploy IRC bots and web shells. Many of the compromised credentials were traced to AI-generated server setup examples and outdated web stack configurations. Once inside, the botnet employed brute-force modules to propagate, staged payloads, and established redundant command-and-control channels. One notable tactic involved scanning TRON blockchain addresses for accounts with non-zero balances, signaling a financially motivated focus on blockchain assets. This incident highlights the evolving intersection of automated attack tools, AI-influenced misconfigurations, and crypto-driven targeting. The persistent exploitation of misconfigured infrastructure underscores rising risks to technology firms, especially as low-effort credential attacks increasingly leverage AI-generated default settings.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
n8n npm Supply Chain Attack: OAuth Tokens Stolen via Malicious Community Nodes
Impact· medium

n8n npm Supply Chain Attack: OAuth Tokens Stolen via Malicious Community Nodes

In early January 2026, threat actors targeted the n8n workflow automation ecosystem by publishing eight malicious npm packages that mimicked legitimate integrations. These packages prompted unsuspecting users to connect OAuth-protected services like Google Ads, Stripe, and Salesforce. Once installed as community nodes, the malware exfiltrated encrypted OAuth tokens from the n8n credential store by decrypting them with n8n's own master key and sending them to attacker-controlled servers. The campaign exploited developer trust in community packages and highlighted a dangerous new avenue for credential theft at scale. This incident reflects the increasing sophistication and frequency of supply chain attacks, particularly against workflow automation tools that centralize sensitive credentials. With open-source ecosystems growing rapidly, businesses face heightened urgency to scrutinize third-party integrations and adopt least-privilege, zero trust security practices.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(high)
E
Exfiltration(high)
I
Impact(medium)
Read Report
Gogs Path Traversal CVE-2025-8110: Active Exploitation Prompts CISA KEV Inclusion
Impact· low

Gogs Path Traversal CVE-2025-8110: Active Exploitation Prompts CISA KEV Inclusion

In January 2026, CISA issued an alert adding CVE-2025-8110 to its Known Exploited Vulnerabilities Catalog after confirming active exploitation of a critical path traversal vulnerability in Gogs, a popular self-hosted Git service. Threat actors leveraged this flaw to bypass directory security controls, allowing unauthorized access to sensitive files and potentially facilitating lateral movement, data exfiltration, or the deployment of malicious code in affected federal and private sector organizations. In accordance with Binding Operational Directive 22-01, Federal Civilian Executive Branch agencies were ordered to remediate this vulnerability immediately to stem ongoing exploitation risks and protect government infrastructure. The ongoing exploitation of CVE-2025-8110 highlights a growing trend of attackers targeting unmanaged or overlooked developer infrastructure for initial access. The incident underscores regulatory and operational pressure for timely vulnerability management and demonstrates the criticality of securing east-west application flows.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(low)
Read Report
Two Major Campaigns Expose AI/LLM Endpoint Security Flaws in 2024
Impact· medium

Two Major Campaigns Expose AI/LLM Endpoint Security Flaws in 2024

In early 2024, security researchers observed two distinct attack campaigns targeting more than 91,000 public Large Language Model (LLM) endpoints. Threat actors systematically scanned for exposed LLM interfaces left accessible on the public internet, leveraging them to probe for sensitive data leaks and map organizational attack surfaces. Attackers exploited the unprotected AI endpoints primarily through direct web probes and API requests, taking advantage of lax access controls and lack of encryption. The business impact included the risk of sensitive internal data exposure, increased surface area for lateral movement, and potential regulatory non-compliance. The incident highlights the increasing threat to organizations deploying AI/GenAI technologies without robust security controls. As adoption of LLMs surges, attackers are pivoting to exploit these modern interfaces, driving urgency for enterprises to secure AI assets, enforce segmentation, and monitor for unauthorized use of LLM endpoints.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
Researchers Uncover How Subtle Tuning Can Corrupt LLMs via Inductive Backdoors
Impact· high

Researchers Uncover How Subtle Tuning Can Corrupt LLMs via Inductive Backdoors

In January 2026, researchers published a pivotal study revealing new ways that adversaries can corrupt large language models (LLMs) through subtle data poisoning and finetuning techniques that exploit the models’ generalization abilities. The research demonstrated that minimal, targeted finetuning can induce LLMs to adopt outdated or harmful behaviors even outside the initial scope of manipulation. Notably, the study introduced the concept of "inductive backdoors," wherein LLMs generalize a malicious trigger and behavior relationship—resulting in broad, unpredictable misalignments and persona shifts not directly present in the source training data. No direct attacker, but the techniques expose exploitable weaknesses in LLM training pipelines and data supply chain security. This finding is urgent for organizations integrating AI/ML into business operations. It spotlights a new class of supply chain and insider risk: even small, unnoticed changes in model inputs or fine-tuning datasets can profoundly undermine trust, safety, and regulatory compliance in deployed AI systems.

6 months ago

Kill Chain

IC
Initial Compromise(high)
PE
Privilege Escalation(medium)
LM
Lateral Movement(medium)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(high)
Read Report
Instagram 2026: Data Scraping Leak Exposes 17 Million Accounts
Impact· medium

Instagram 2026: Data Scraping Leak Exposes 17 Million Accounts

In January 2026, security researchers and several hacking forums circulated claims that data for over 17 million Instagram accounts was leaked online. The incident is believed to stem from large-scale data scraping leveraging a password reset email bug, combined potentially with prior years' API vulnerabilities. The leaked dataset included a variety of personal information such as usernames, phone numbers, email addresses, and physical addresses. No passwords were exposed, and Meta (Instagram's parent company) denies that a system breach or new API compromise occurred, noting existing issues were promptly addressed and account security remains uncompromised. This case underscores the ongoing threat of data scraping and API abuse, where publicly accessible or insufficiently protected endpoints are targeted by cybercriminals. With the proliferation of social engineering attacks using scraped personal data and the repeated emergence of similar incidents across major platforms, the need for robust API security and user vigilance has never been greater.

6 months ago

Kill Chain

IC
Initial Compromise(medium)
PE
Privilege Escalation(high)
LM
Lateral Movement(high)
C&C
Command & Control(medium)
E
Exfiltration(medium)
I
Impact(medium)
Read Report
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