API Security | Breaking Cybersecurity News | The Hacker News

AI is changing everything — from how we code, to how we sell, to how we secure. But while most conversations focus on what AI can do, this one focuses on what AI can break — if you're not paying attention. Behind every AI agent, chatbot, or automation script lies a growing number of non-human identities — API keys, service accounts, OAuth tokens — silently operating in the background. And here's the problem: 🔐 They're invisible 🧠 They're powerful 🚨 They're unsecured In traditional identity security, we protect users. With AI, we've quietly handed over control to software that impersonates users — often with more access, fewer guardrails, and no oversight. This isn't theoretical. Attackers are already exploiting these identities to: Move laterally through cloud infrastructure Deploy malware via automation pipelines Exfiltrate data — without triggering a single alert Once compromised, these identities can silently unlock critical systems. You don't get a second cha...

Human identities management and control is pretty well done with its set of dedicated tools, frameworks, and best practices. This is a very different world when it comes to Non-human identities also referred to as machine identities. GitGuardian's end-to-end NHI security platform is here to close the gap. Enterprises are Losing Track of Their Machine Identities Machine identities–service accounts, API keys, bots, automation, and workload identities–that now outnumber humans by up to 100:1 are in fact a massive blind spot in companies' security landscape: Without robust governance, NHIs become a prime target for attackers. Orphaned credentials, over-privileged accounts, and "zombie" secrets are proliferating—especially as organizations accelerate cloud adoption, integrate AI-powered agents, and automate their infrastructure . Secrets Sprawl: The New Attack Surface GitGuardian's research shows that 70% of valid secrets detected in public repositories in 2022 remained active in ...

Modern enterprise networks are highly complex environments that rely on hundreds of apps and infrastructure services. These systems need to interact securely and efficiently without constant human oversight, which is where non-human identities (NHIs) come in. NHIs — including application secrets, API keys, service accounts, and OAuth tokens — have exploded in recent years, thanks to an ever-expanding array of apps and services that must work together and identify one another on the fly. In some enterprises, NHIs now outnumber human identities by as much as 50-to-1 .  However, NHIs introduce unique risks and management challenges that have security leaders on high alert. Forty-six percent of organizations have experienced compromises of NHI accounts or credentials over the past year, and another 26% suspect they have, according to a recent report from Enterprise Strategy Group .  It's no wonder NHIs — and the difficulties they present with oversight, risk reduction, and gove...

Google has stepped in to address a security flaw that could have made it possible to brute-force an account's recovery phone number, potentially exposing them to privacy and security risks. The issue, according to Singaporean security researcher "brutecat," leverages an issue in the company's account recovery feature. That said, exploiting the vulnerability hinges on several moving parts, specifically targeting a now-deprecated JavaScript-disabled version of the Google username recovery form ("accounts.google[.]com/signin/usernamerecovery") that lacked anti-abuse protections designed to prevent spammy requests. The page in question is designed to help users check if a recovery email or phone number is associated with a specific display name (e.g., "John Smith"). But circumventing the CAPTCHA-based rate limit ultimately made it possible to try out all permutations of a Google account's phone number in a short space of time and arrive at t...

Cybersecurity researchers have flagged several popular Google Chrome extensions that have been found to transmit data in HTTP and hard-code secrets in their code, exposing users to privacy and security risks. "Several widely used extensions [...] unintentionally transmit sensitive data over simple HTTP," Yuanjing Guo, a security researcher in the Symantec's Security Technology and Response team, said . "By doing so, they expose browsing domains, machine IDs, operating system details, usage analytics, and even uninstall information, in plaintext." The fact that the network traffic is unencrypted also means that they are susceptible to adversary-in-the-middle (AitM) attacks, allowing malicious actors on the same network such as a public Wi-Fi to intercept and, even worse, modify this data, which could lead to far more serious consequences. The list of identified extensions are below - SEMRush Rank (extension ID: idbhoeaiokcojcgappfigpifhpkjgmab) and P...

Not every security vulnerability is high risk on its own - but in the hands of an advanced attacker, even small weaknesses can escalate into major breaches. These five real vulnerabilities, uncovered by Intruder's bug-hunting team, reveal how attackers turn overlooked flaws into serious security incidents. 1. Stealing AWS Credentials with a Redirect Server-Side Request Forgery (SSRF) is a common vulnerability that can have a significant impact, especially in cloud-hosted applications. If a web application fetches resources from user-supplied URLs, care should be taken to ensure attackers can't manipulate requests to access unintended resources. While assessing a home-moving app running in AWS, our team tested common SSRF bypass techniques. The attack chain was as follows: the app sent a webhook request to the attacker's web server, which responded with a 302 redirect to AWS's metadata service. The app followed the redirect and logged the response, which exposed sensitive metadat...

When we talk about identity in cybersecurity, most people think of usernames, passwords, and the occasional MFA prompt. But lurking beneath the surface is a growing threat that does not involve human credentials at all, as we witness the exponential growth of Non-Human Identities (NHIs).  At the top of mind when NHIs are mentioned, most security teams immediately think of Service Accounts . But NHIs go far beyond that. You've got Service Principals , Snowflake Roles , IAM Roles , and platform-specific constructs from AWS, Azure, GCP, and more. The truth is, NHIs can vary just as widely as the services and environments in your modern tech stack, and managing them means understanding this diversity. The real danger lies in how these identities authenticate. Secrets: The Currency of Machines Non-Human Identities, for the most part, authenticate using secrets : API keys, tokens, certificates, and other credentials that grant access to systems, data, and critical infrastructure. Th...

Cybersecurity researchers have disclosed a malicious package uploaded to the Python Package Index (PyPI) repository that's designed to reroute trading orders placed on the MEXC cryptocurrency exchange to a malicious server and steal tokens. The package, ccxt-mexc-futures, purports to be an extension built on top of a popular Python library named ccxt (short for CryptoCurrency eXchange Trading), which is used to connect and trade with several cryptocurrency exchanges and facilitate payment processing services. The malicious package is no longer available on PyPI, but statistics on pepy.tech shows that it has been downloaded at least 1,065 times . "The authors of the malicious ccxt-mexc-futures package, claim in its README file that it extends the CCXT package to support 'futures' trade on MEXC," JFrog researcher Guy Korolevski said in a report shared with The Hacker News. However, a deeper examination of the library has revealed that it specifically overr...

Cybersecurity researchers are calling attention to a new type of credential phishing scheme that ensures that the stolen information is associated with valid online accounts. The technique has been codenamed precision-validating phishing by Cofense, which it said employs real-time email validation so that only a select set of high-value targets are served the fake login screens. "This tactic not only gives the threat actors a higher success rate on obtaining usable credentials as they only engage with a specific pre-harvested list of valid email accounts," the company said . Unlike "spray-and-pray" credential harvesting campaigns that typically involve the bulk distribution of spam emails to obtain victims' login information in an indiscriminate fashion, the latest attack tactic takes spear-phishing to the next level by only engaging with email addresses that attackers have verified as active, legitimate, and high-value. In this scenario, the email address...

GitGuardian's State of Secrets Sprawl report for 2025 reveals the alarming scale of secrets exposure in modern software environments. Driving this is the rapid growth of non-human identities (NHIs), which have been outnumbering human users for years. We need to get ahead of it and prepare security measures and governance for these machine identities as they continue to be deployed, creating an unprecedented level of security risk. This report reveals an astounding 23.77 million new secrets were leaked on GitHub in 2024 alone. This is a 25% surge from the previous year. This dramatic increase highlights how the proliferation of non-human identities (NHIs), such as service accounts, microservices, and AI agents, are rapidly expanding the attack surface for threat actors. The Non-Human Identity Crisis NHI secrets, including API keys, service accounts, and Kubernetes workers, now outnumber human identities by at least 45-to-1 in DevOps environments. These machine-based credentials...

Microsoft on Thursday unmasked four of the individuals that it said were behind an Azure Abuse Enterprise scheme that involves leveraging unauthorized access to generative artificial intelligence (GenAI) services in order to produce offensive and harmful content. The campaign, called LLMjacking, has targeted various AI offerings, including Microsoft's Azure OpenAI Service. The tech giant is tracking the cybercrime network as Storm-2139. The individuals named are - Arian Yadegarnia aka "Fiz" of Iran, Alan Krysiak aka "Drago" of United Kingdom, Ricky Yuen aka "cg-dot" of Hong Kong, China, and Phát Phùng Tấn aka "Asakuri" of Vietnam "Members of Storm-2139 exploited exposed customer credentials scraped from public sources to unlawfully access accounts with certain generative AI services," Steven Masada, assistant general counsel for Microsoft's Digital Crimes Unit (DCU), said . "They then altered the capabilities of ...

A dataset used to train large language models (LLMs) has been found to contain nearly 12,000 live secrets, which allow for successful authentication. The findings once again highlight how hard-coded credentials pose a severe security risk to users and organizations alike, not to mention compounding the problem when LLMs end up suggesting insecure coding practices to their users. Truffle Security said it downloaded a December 2024 archive from Common Crawl , which maintains a free, open repository of web crawl data. The massive dataset contains over 250 billion pages spanning 18 years.  The archive specifically contains 400TB of compressed web data, 90,000 WARC files (Web ARChive format), and data from 47.5 million hosts across 38.3 million registered domains. The company's analysis found that there are 219 different secret types in the Common Crawl archive, including Amazon Web Services (AWS) root keys, Slack webhooks, and Mailchimp API keys. "'Live' secrets ar...

AI is everywhere now, transforming how businesses operate and how users engage with apps, devices, and services. A lot of applications now have some Artificial Intelligence inside, whether supporting a chat interface, intelligently analyzing data or matching user preferences. No question AI benefits users, but it also brings new security challenges, especially Identity-related security challenges. Let's explore what these challenges are and what you can do to face them with Okta. Which AI? Everyone talks about AI, but this term is very general, and several technologies fall under this umbrella. For example, symbolic AI uses technologies such as logic programming, expert systems, and semantic networks. Other approaches use neural networks, Bayesian networks, and other tools. Newer Generative AI uses Machine Learning (ML) and Large Language Models (LLM) as core technologies to generate content such as text, images, video, audio, etc. Many of the applications we use most often toda...