Microsoft tracked over 30 MacSync Stealer domains by focusing on behavioral patterns, revealing a campaign targeting passwords, keys, wallets and other data. Domain blocking is a losing game when the thing you’re blocking can register a new domain faster than you can add it to a list. That’s the exact problem Microsoft Defender Experts ran into while tracking MacSync Stealer, a macOS-focused information stealer that RST Cloud first flagged for swapping out its command-and-control infrastructure almost immediately after getting publicly outed. Microsoft detailed how its experts stopped chasing individual domains and started tracking the behaviors that stayed constant underneath them. Instead of tracking individual domains, Microsoft looked at recurring request patterns, HTTP headers and other behaviors. This allowed its researchers to link more than 30 domains to the same campaign and determine that the infrastructure was doing more than just sending commands to infected Macs. It was also being used to collect, stage and exfiltrate stolen data. “MacSync Stealer is a macOS-focused information stealer that relies on changing infrastructure to deliver payloads, communicate with compromised devices, and exfiltrate data. Earlier reporting by RST Cloud identified the threat through a limited set of domains and documented rapid command-and-control (C2) replacement after public disclosure.” reads the report published by Microsoft. “Microsoft Defender Experts expanded that view by correlating recurring endpoints and network behaviors across the activity. This behavior-led approach connected more than 30 domains and showed that the infrastructure supported more than C2 communication, extending into active collection, staging, and exfiltration.” The infection chain starts with a trick rather than an exploit. Victims get social-engineered through a technique known as ClickFix, tricked into pasting or running commands directly in macOS Terminal, and once that shell session fires, curl pulls down attacker-controlled payload content from a path formatted as /curl/[token]. Then, native macOS tools decode and unpack the payload, and an AppleScript-driven layer takes over, blending Unix commands like sh, cp, rm, and killall with osascript calls that make the whole chain look more like ordinary system scripting than malware. Once active, the stealer focuses on valuable data. The malicious code looks for macOS Keychain data, saved browser passwords and cookies, SSH keys, AWS credentials, Kubernetes configurations and files in common user folders. It also searches for Ledger and Trezor wallet data, showing that the malware targets users with valuable credentials and assets rather than simply collecting random browser history. What actually confirms exfiltration, rather than just suspicious traffic, is the upload mechanism itself. Collected data gets staged under temporary paths, compressed into an archive, split into chunks, and pushed out through HTTP PUT requests carrying parameters like upload_id, chunk_index, and total_chunks. “The staged archive was uploaded through rotating infrastructure using curl and HTTP PUT requests. Observed requests included –data-binary, API-key headers, macOS User-Agent string, upload_id values, chunk_index values, and total_chunks parameters.” states Microsoft. “These upload traits confirmed active data exfiltration and provided durable hunting pivots even when domains rotated. “ The researchers pointed out that the exfiltration method stays recognizable even when the destination keeps changing. RST Cloud’s follow-up work backs up how consistent this infrastructure actually is under the surface. Using the same recurring URI patterns, RST Cloud surfaced eleven additional candidate domains and found a static API-key value shared across four confirmed command-and-control domains, even while the build token attached to each deployment kept rotating. A shared static key sitting inside otherwise rotating infrastructure is exactly the kind of detail that makes automated evasion look less impressive up close. The attack wraps up with cleanup, deleting temporary archives, staging folders, and lock files after the upload completes. Microsoft notes this reduces what’s left sitting on disk, but it doesn’t erase the behavioral sequence itself. “After exfiltration, the malware removed temporary archives, staging folders, lock files, and other artifacts. Although this cleanup reduced on-disk evidence, the sequence of archive creation, chunked upload, and deletion can still provide a useful behavioral correlation for defenders.” concludes Microsoft. For anyone defending Mac fleets, the practical takeaway here isn’t a list of domains to block, since that list will be stale within days. It’s building detection around the recurring shape of the attack itself: shell sessions spawning curl with those specific flag patterns, osascript chaining rapidly into network activity, and archives appearing under /tmp/sync* right before outbound PUT traffic starts. Chase the pattern, not the address, because the address was never going to sit still long enough to matter. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, malware)
Over 50,000 exposed Stripe API keys show how leaked secrets can enable fraud, data access and account abuse within hours. Ransomnews researchers have documented a large-scale leak of Stripe merchant API keys found exposed in public code repositories, GitHub Actions logs, and misconfigured web servers, with over 50,000 unique keys identified in total. The research is practical rather than theoretical: the team tested a sample of the keys, found a meaningful portion still active, and documented exactly how quickly a fraudster could exploit them. The answer is fast. “A dataset published on a data-trading forum on 18 August 2026 contains live Stripe API keys for 659 merchant accounts, along with roughly 35 GB of customer and payment data pulled from them.” reads the report published by Ransomnews. “Ransomnews analysed the files offline and reported the exposure to Stripe before publishing. Stripe itself was not compromised. The keys belong to merchants.” Researchers said that after finding an active Stripe API key, they were able to access a merchant’s customer list, create a fraudulent payment link and make a $1 test charge within 17 hours. The key alone was enough to perform these actions, highlighting the risks of exposed credentials and insufficient API protections. The operations a live Stripe secret key unlocks are extensive: listing customers and their stored payment methods, creating charges and payment intents, issuing refunds to attacker-controlled accounts, modifying webhook endpoints to intercept future payment notifications, and in some cases accessing connected accounts if the merchant had enabled Stripe Connect. A secret key is not a partial credential. It’s full API access. The sources of the leaked keys are unsurprising to anyone who has done developer security work. GitHub repositories — both public and accidentally made public, account for the largest share, typically through hardcoded keys in configuration files, .env files committed without a corresponding .gitignore entry, or keys left in code comments. GitHub Actions build logs are the second major source: when a workflow prints environment variables for debugging, any secret that wasn’t properly masked ends up in a log that anyone with repository access can read. Misconfigured web servers are another major source of exposed Stripe API keys. Researchers found over 3,000 servers revealing Stripe-related strings, with about 12% containing keys that worked against the Stripe API. The source of the 659 exposed merchant keys is unclear, but likely includes infostealer logs, public repositories, exposed environment files and misconfigured backups. The collector’s real advantage was systematically validating the keys, accessing each account and organizing the stolen data. “The dataset doesn’t say, and we are not going to guess at a single source for 659 separate merchants. The realistic candidates are the ordinary ones: secret keys sitting in infostealer logs lifted from developer machines, keys committed to public repositories, keys left in exposed environment files, keys pulled out of misconfigured backups. Stripe’s own documentation says the company scans for exactly this, and describes finding merchant keys on repositories and package registries.” concludes the report. “What the collector added was patience. Gathering keys is common. Validating several hundred of them, then systematically walking the API for each account and archiving the results into a consistent folder structure, is a different level of effort.” Stripe does provide automatic secret scanning through GitHub’s partner program, which flags Stripe keys found in public repositories and can trigger automatic revocation when a merchant opts in. The problem is that opt-in rate is low, the scanning doesn’t cover private repositories, and it has no coverage over build logs, web server misconfigurations, or other platforms where keys surface. Ransomnews also found that some merchants had rotated their keys after a GitHub exposure but left the old keys active, possibly because Stripe doesn’t revoke keys on rotation unless you explicitly delete the old one. The remediation is not complicated. Audit your current Stripe keys against your version control history to see if any have ever been committed. Rotate any key that has touched a public repository, a build log, or a configuration file that wasn’t explicitly protected. Enable Stripe’s restricted keys for any integration that doesn’t need full account access — a webhook handler doesn’t need the ability to create charges. And enable Stripe Radar rules to flag unusual charge patterns that might indicate someone else is using your key before you’ve noticed it’s gone. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, data leak)
Two critical vulnerabilities impacting MLflow, an open-source artificial intelligence (AI) platform, and FUXA, an open-source, web-based SCADA / HMI software built for operational technology (OT) and industrial automation, are witnessing malicious scanning and exploitation efforts. According to independent reports from watchTowr and VulnCheck, the vulnerabilities in question are as follows -
Pokémon Center is notifying customers in the United Kingdom and Germany that it suffered a third-party data breach after hackers stole customer personal and order information from third-party logistics provider CEVA Logistics. While CEVA's systems were compromised in the cyberattack, the exposed records belonged to Pokémon Center customers who submitted orders on the site. The company then shared this information with the logistics provider to fulfill and ship PokemonCenter.com orders. CEVA Logistics is a subsidiary of the CMA CGM Group, the world's third-largest shipping company. The logistics provider operates 1,000 warehouses, handled 15 million shipments last year, and reported $18.3 billion in revenue in 2025. The company recently suffered a cyberattack in which attackers breached its servers between July 29 and August 1, affecting multiple retailers in Europe.
The SANDCLOCK LiteLLM supply-chain attack exposed credentials across 2,038 repositories, affecting technology, finance, healthcare, retail and more. Resecurity (USA) estimated the most affected sectors by the “SANDCLOCK” backdoor, which was planted as a result of the code repository compromise. According to cybersecurity experts, LiteLLM / TeamPCP Supply-Chain Attack will have long-lasting consequences. By compromising a well-known component in AI applications, adversaries will multiply the blast radius—some of the victim organizations are still unaware of the backdoor and its impact. LiteLLM is a popular open-soure AI gateway and utility library that unifies API calls for over 100 large language model providers, such as OpenAI, Anthropic, Google Gemini, and local Ollama models. Such incidents involve substantial MTTD (Mean Time to Detect) and MTTR (Mean Time to Respond). The threat actor group “TeamPCP” compromised maintainer credentials for LiteLLM and published malicious package versions 1.82.7 and 1.82.8 to PyPI around March 2026 – creating a window of exposure lasting at least a few months. Over 2,500+ organizations and hundreds of thousands of CI/CD environments suffered full-credential exposure, compromising cloud infrastructure keys, repository access tokens, SSH credentials, Kubernetes secrets, and AI provider API keys (such as OpenAI and Anthropic). Resecurity has acquired the 150GB archive attributed to the LiteLLM supply-chain attack conducted by TeamPCP using the “SANDCLOCK” credential-stealer. Per published incident reporting — accompanying victim manifests enumerate 898 compromised GitHub owners (organisations/accounts) across 2,038 repositories. The affected owners include major global enterprises — among them Microsoft, Azure, IBM, NVIDIA, PayPal (Zettle), Deloitte, Bosch, S&P Global, Elevance Health, 84.51° (Kroger), Adeo (Leroy Merlin), Kärcher, Dräger, ID.me and 1inch. Top 10 the most impacted sectors (by victim organization profile): Technology / Software Banking / Finance / Insurance Healthcare / Pharma / Medtech Retail / E-Commerce Media / Gaming / Adtech Manufacturing / Industrial Professional Services Cybersecurity Crypto Government Resecurity enumerated 2,146 records by key name (values never inspected beyond structural masking). The composition is overwhelmingly GitHub CI-CD identity material, with a long tail of high-value cloud and registry credentials. Victim manifests (owners.txt, repos.txt) enumerate 898 distinct compromised GitHub owners across 2,038 repositories. The distribution is long-tailed: 631 owners have a single affected repo, while the most-affected owner (Cencosud-Cencommerce) has 64. Critically, the owner list includes major global enterprises and regulated organisations. Every organization affected by the LiteLLM incident should revoke or rotate GitHub App private keys, PATs, AWS/GCP/Firebase credentials, ECR/JFrog tokens, SSH keys, and signing passwords, and invalidate sessions. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, newsletter)
GitHub is down for some users as a widespread outage is causing errors across the website, API, Actions, Pull Requests, and several other services. GitHub confirmed the outage at 9:40 AM EDT on August 17, 2026, when it said it was investigating reports of performance problems affecting some of its services. The problems quickly spread across several parts of GitHub that developers rely on, including API Requests, Actions, Webhooks, Issues, and Pull Requests. According to GitHub's status page, the company is seeing error rates of around 20% across its web experience and API traffic. GitHub says archive downloads and raw repository content downloads are experiencing error rates of approximately 50%. Likewise, authentication-related services are also having problems, with SAML and OIDC authentication, SCIM, and Team Sync affected by the incident.
Author: Len Noe, Solutions Architect, BeyondTrust Every mature Active Directory environment has a component that quietly holds more power than the people running it usually admit: the Certification Authority (CA). The thing your entire estate has agreed to believe. When it signs a certificate, every machine, service, and authentication flow downstream treats that signature as truth. That is an enormous amount of trust concentrated in one system, and most organizations manage it like a utility installed once and never thought about again. Certighost, tracked as CVE-2026-54121, is a reminder of what happens when that trust is misplaced. Researchers published a working proof-of-concept on July 24, 2026, demonstrating that a low-privileged Active Directory user (holding nothing more than a standard domain account) can coerce an Enterprise CA into issuing a valid authentication certificate for a Domain Controller, then use that certificate to become the Domain Controller.
The French Ministry of the Economy and Finance has disclosed a data breach after an attacker accessed the General Directorate of Public Finances (DGFiP) systems and stole data belonging to 678,000 individuals. This incident was discovered after a threat actor using the "ZeroBytes" handle claimed the attack and listed a stolen database for sale on August 12 on the PwnForums hacking forum. "The in-depth investigations conducted since August 12, 2026, have established that, prior to their interruption, these access points had been used to consult and extract data concerning a total of 678,000 individuals and professionals, including tax data such as reference tax income, family quotient, and withholding tax rate, and, for businesses, data such as their company name and SIREN number," the French Finance Ministry said.
A seller claims 1.7M McDonald’s employee records were stolen from Azure. An 8,000-row sample appears genuine, but its age and full size remain unconfirmed. A seller on a data-trading forum posted an 8,000-row sample this week claiming it came from McDonald’s own Azure tenant, part of a supposed 1.7 million-record employee directory obtained using stolen credentials. Ransomnews’s technical breakdown found the sample holds up as genuine on every test that can be run against it. What it can’t confirm, notably, is exactly how old the data is or whether the full 1.7 million figure is real. “The listing is a straightforward private sale, posted at 4:08 AM forum time under the title “McDonalds 1.7M+ Azure Internal Employee Dump”. The seller, an account called TheHatman, writes that the data was “downloaded directly from Azure Tenant using compromised credentials” and that it contains “employee accounts, service accounts, and other tenant account records”. No price is named. Buyers are invited to make offers.” reads the report published by Ransomnews. “To evidence the claim, the seller attached a free 8,000-record sample. That file is the entire basis for what follows. Ransomnews analysed it offline. We did not access, probe or authenticate against any McDonald’s system, and we have redacted the sample’s download location from the screenshot below because it still resolves to real people’s contact details.” The file’s structure gives away exactly what it is before you even read a single row. Column names like FacsimileTelephoneNumber and PhysicalDeliveryOfficeName aren’t something anyone invents; they’re the exact property names Microsoft’s own PowerShell directory tools return when an administrator exports a user list from Entra ID, the modern name for Azure Active Directory. Whoever produced this file ran a standard Microsoft export command and saved the output, nothing more exotic than that. Every one of the 50 email domains found in the sample is genuinely McDonald’s-controlled, spanning corporate staff, restaurant crew accounts, franchisee logins, and vendor guest access across more than thirty countries. Three rows even carry the tenant’s own built-in Microsoft address, mcdonaldscorp.onmicrosoft.com, something that’s invisible from outside the organization and simply isn’t guessable or scrapeable. Add in 233 rows with the exact kind of garbled text encoding that happens when someone forgets to specify UTF-8 during an export, plus 85 job titles cut off at precisely 30 characters mid-word, the unmistakable fingerprint of a fixed-width HR system field bleeding into the directory, and you get a picture consistent with a real export rather than something assembled from public sources. “The file is broken in the ways real exports are broken. 233 rows contain mangled characters: Königswinter appears as “Königswinter”, München as “München”, and Ukrainian job titles are rendered as unreadable strings of Cyrillic run through the wrong character set. This is what happens when somebody runs Export-Csv without specifying UTF-8 encoding.” continues the report. “It’s a mistake, and it is not the kind of mistake anybody makes on purpose. A fabricated dataset doesn’t come with authentic encoding damage.” One detail actually reaches outside the file entirely. A restaurant entry for “556 Upton” on Upton By-Pass in Wirral, complete with phone number, matches a real, publicly listed McDonald’s location down to the digit. That’s a small anchor, but it’s the kind of anchor fabricated data doesn’t usually survive contact with. What the sample genuinely can’t settle is timing. There isn’t a single date field anywhere in the schema, no creation date, no last login, nothing to age a row by. “We can say with confidence that the data came out of McDonald’s directory. We cannot say from the file alone when it came out.” The best clue available is McDonald’s own market footprint: no Russian records at all, consistent with the company’s 2022 exit, and no Kazakh ones either, which points to sometime in 2023 or later, a wide window rather than a firm date. The 1.7 million headline number also isn’t something 8,000 rows can verify. That sample is under half a percent of the claim, and while nothing in it looks implausible given McDonald’s global workforce size, plausible isn’t the same thing as confirmed. A seller running a volume trade across multiple companies has every incentive to round the number up in the listing title. This McDonald’s post wasn’t an isolated event either. The same account, going by TheHatman, posted nine listings in total over sixteen days, claiming roughly 3.6 million records combined across McDonald’s, Vodafone, Gap, two hotel chains, and four major IT outsourcing firms including Kyndryl and Tata Consultancy Services. Every listing uses an identical 19-column schema and nearly identical wording, the kind of consistency you get from one person running the same export script against whatever tenant they currently hold a working login for, not from someone fabricating nine separate datasets by hand. That pattern points toward something fairly mundane and fairly common: infostealer malware harvesting saved credentials at scale, feeding a resale market that lets one operator walk into tenant after tenant using logins nobody bothered to protect with multi-factor authentication. Reading an entire company directory doesn’t require a sophisticated intrusion; it requires one working account in a tenant that hasn’t restricted user enumeration, which is Entra ID’s default setting unless an administrator has explicitly locked it down. For anyone at McDonald’s or one of the other eight listed companies, the real risk here isn’t account takeover, since there are no passwords or hashes in the sample at all. It’s social engineering: full names, job titles, direct phone numbers, and internal email formats are more than enough to make a fake helpdesk call or a fraudulent invoice sound completely legitimate. Treat unsolicited contact that already knows your role and your location with more suspicion than usual, because that’s precisely the kind of detail this file was built to hand someone. “For individuals named in the data, there is no action that removes the exposure.” concludes the report.”The realistic response is scepticism about unsolicited contact that arrives already knowing your role and your store, and a refusal to act on instructions that arrive by phone or email without out-of-band confirmation.” Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, McDonald’s)
GitLab has released security updates to address a critical vulnerability impacting its Community Edition (CE) and Enterprise Edition (EE) software that, under certain conditions, could allow an unauthenticated attacker to remotely modify or delete public projects and user data. The flaw, tracked as CVE-2026-19478, has been rated Critical by GitLab and assigned a CVSS score of 9.4. Released on
Confirm this action.
Leaving now will discard your changes.