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Palo Alto Networks

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TLD Tracker: Exploring Newly Released Top

Unit 42 tracked 19 newly released top-level domains and found large-scale phishing, unwanted program distribution, and cybersquatting tied to TLD launch dates.

Researchers analyzed 19 new generic TLDs, including .zip, .bot, .ing, and .meme, released or approaching general availability over roughly 18 months. Data from passive DNS, registry zone files, newly registered domain feeds, and the Tranco top-1M list showed phishing campaigns, potentially unwanted program distribution, and domain squatting on these TLDs. Abuse correlated with each TLD's rollout phases, indicating attackers monitor general availability dates to register and weaponize domains. The IANA root database now lists over 1,000 generic TLDs.

Palo Alto Unit 42 · Aug 17, 2026Research

Automatically Detecting DNS Hijacking in Passive DNS

Unit 42's machine learning pipeline detected 6,729 DNS hijacking events between March and September 2024, hitting political parties, ISPs, and universities.

Unit 42 processes roughly 167 million new DNS records daily and applies a machine learning model using 74 features over 169 TB of passive DNS and geolocation data to flag hijacked domains. From March to September 2024 the pipeline screened over 29 billion records and classified 6,729 as DNS hijacking, averaging 38 detections per day; a new model detects hijacks in customer traffic within about 10 minutes. Notable cases include a Hungarian political party's hijacked domain, defacement of a large utility company and ISP, and university and research center domains repurposed for illicit gambling. DNS hijacking typically relies on stolen registrar or DNS provider credentials or cache poisoning, enabling MitM attacks, phishing, drive-by downloads, and scams.

Palo Alto Unit 42 · Aug 17, 2026Research in the wild

Network Abuses Leveraging High-Profile Events: Suspicious Domain Registrations and Other Scams

Unit 42 found scammers surge deceptive domain registrations around major events like the 2024 Paris Olympics to run phishing and counterfeit merchandise scams.

Unit 42 analyzed newly registered domains (over 200,000 detected daily from zone files, WHOIS, and passive DNS) containing event-specific keywords, using the 2024 Paris Summer Olympics as a case study. Threat actors register lookalike domains to sell counterfeit merchandise, push fraudulent services, and run phishing, as previously seen with COVID-19-themed and fake ChatGPT tool scams. The article recommends monitoring domain registrations, DNS and URL traffic trends, textual patterns, and verdict change requests to catch event-themed abuse early.

Palo Alto Unit 42 · Aug 17, 2026Phishing & fraud in the wild

Beneath the Surface: Detecting and Blocking Hidden Malicious Traffic Distribution Systems

Unit 42 built an ML-based detector for malicious traffic distribution systems, finding malicious TDS chains average longer redirections and more URLs than legitimate ones.

Traffic distribution systems redirect victims through chains of intermediate domains to hide final destinations, serving phishing, malvertising, and online gambling operations. Unit 42's topological analysis of redirection graphs found malicious TDS traffic uses longer chains (about 25% exceed four hops vs 10% benign), more URLs (median 126 vs 80), and fewer isolated subgraphs with higher connectivity. These features power an ML detector integrated into Advanced DNS Security and Advanced URL Filtering to identify and block malicious TDS infrastructure in customer traffic.

Palo Alto Unit 42 · Aug 17, 2026Research

The Smishing Deluge: China-Based Campaign Flooding Global Text Messages

Unit 42 attributes a global smishing campaign with 194,000+ phishing domains impersonating tolls, banks, and couriers to the Smishing Triad.

Palo Alto Unit 42 attributes ongoing smishing texts about toll violations and package misdelivery to the Smishing Triad, targeting U.S. residents since April 2024. Researchers identified 194,345 FQDNs across 136,933 root domains registered since January 2024, mostly via Hong Kong registrar Dominet (HK) Limited with Chinese nameservers and hosting concentrated on U.S. cloud services. The decentralized campaign impersonates banking, cryptocurrency, e-commerce, healthcare, law enforcement, and social media services, and its scale points to a large phishing-as-a-service operation. Phishing pages harvest national ID numbers such as Social Security numbers, home addresses, payment details, and login credentials.

Palo Alto Unit 42 · Aug 17, 2026Phishing & fraud in the wild1

Almost Half of Malware Samples Communicate Direct to IP

Unit 42 analysis of 4 million malware reports finds 45% of C2-active samples connect directly to hard-coded IPs, bypassing DNS defenses.

Palo Alto Unit 42 analyzed over 4 million Advanced WildFire dynamic analysis reports and found that 45.32% of malware samples with C2 activity made at least one direct-to-IP connection, accounting for 23.17% of all C2 connection attempts. The firm proposes zero trust IP (ZT-IP), an enforcement approach that verifies whether outbound destinations were ever sanctioned by a DNS response. ZT-IP analysis surfaced Phorpiex ransomware droppers fetching payloads directly from C2 IPs, a persistent data exfiltration campaign using an obfuscated \GET protocol, and Mozi P2P botnet payloads delivered to IoT devices without DNS. Only 1% of benign samples connected directly to untrusted IP addresses.

Palo Alto Unit 42 · Aug 17, 2026Research1

Attack Paths Into VMs in the Cloud

Unit 42 maps attack paths into AWS, Azure, and GCP VMs through intended features like startup scripts and SSH key pushes.

Palo Alto Unit 42 reviewed attack vectors against virtual machine services on AWS, Azure, and GCP, finding that 11% of internet-exposed cloud hosts carry Critical or High severity vulnerabilities. The attack paths rely on legitimate features such as EC2 User Data, VM custom data, EC2 Instance Connect, SSM Run Command, and serial consoles rather than vulnerabilities, and exploiting them requires attackers to first obtain control plane permissions. A compromised VM exposes not only its data but the workload identity and cloud permissions assigned to it, making identity compromise potentially more damaging than data theft. The firm places mitigation responsibility on cloud users and administrators.

Palo Alto Unit 42 · Aug 17, 2026Research1

AI Tool Identifies BOLA Vulnerabilities in Easy!Appointments

Unit 42's AI-powered tool found 15 BOLA vulnerabilities in Easy!Appointments, rated up to CVSS 9.9, letting low-privileged users escalate privileges; fixed in 1.5.0.

Unit 42's automated BOLA detection tool, built on generative AI, uncovered 15 broken object-level authorization flaws in the open-source scheduling application Easy!Appointments, tracked as CVE-2023-3285 through CVE-2023-3290 and CVE-2023-38047 through CVE-2023-38055. Nine flaws scored CVSS 9.9, letting logged-in customers view or manipulate appointments and accounts of providers and admins, including creating admin users for privilege escalation. The maintainers patched all issues in version 1.5.0. The same tool previously found a BOLA in Grafana (CVE-2024-1313).

Palo Alto Unit 42 · Aug 17, 2026VulnerabilityCVE-2023-3285CVE-2023-3286CVE-2023-3287+13 CVEs

Identifying a BOLA Vulnerability in Harbor, a Cloud

Unit 42 found a BOLA flaw, CVE-2024-22278 (CVSS 6.4), letting Maintainers improperly alter Harbor project metadata; fixed in versions 2.9.5, 2.10.3, and 2.11.0.

Unit 42 researchers identified a broken object-level authorization flaw, CVE-2024-22278, in Harbor, a CNCF-graduated cloud-native container registry with 1.8 million downloads. The flaw (CVSS 6.4) lets users with the Maintainer role create, update, and delete project metadata, actions reserved for ProjectAdmin, risking data exposure, integrity compromise, and circumvention of vulnerability scanning. Harbor patched the issue in versions 2.9.5, 2.10.3, and 2.11.0. The finding came from Unit 42's automated BOLA detection tool built on generative AI.

Palo Alto Unit 42 · Aug 17, 2026VulnerabilityCVE-2024-22278

Harnessing LLMs for Automating BOLA Detection

Unit 42's BOLABuster methodology uses LLMs to automate detection of broken object-level authorization vulnerabilities, uncovering flaws in Grafana, Harbor, and Easy!Appointments.

Palo Alto Unit 42 details BOLABuster, a methodology combining large language models with heuristics to automate detection of broken object-level authorization (BOLA) flaws, which traditional fuzzing and static analysis struggle to find. The approach uses LLM reasoning to understand application logic, map endpoint dependency relationships, and generate and interpret test cases. It found CVE-2024-1313 in Grafana, CVE-2024-22278 in Harbor, and 15 CVEs in Easy!Appointments. The team is continuing to hunt for BOLAs in open-source and internal projects.

Palo Alto Unit 42 · Aug 17, 2026ResearchCVE-2024-1313CVE-2024-22278CVE-2023-3285+14 CVEs

Bad Likert Judge: A Novel Multi-Turn Technique to Jailbreak LLMs by Misusing Their Evaluation Capability

Unit 42 details the Bad Likert Judge multi-turn jailbreak that abuses LLMs' evaluation capability, raising attack success rates over 60% across six frontier models.

Palo Alto Networks Unit 42 describes the Bad Likert Judge technique, a multi-turn jailbreak that asks a target LLM to act as a Likert-scale judge scoring the harmfulness of example responses. The highest-rated example in each scale can carry harmful content, bypassing the model's internal guardrails. Testing across six state-of-the-art text-generation LLMs showed an average attack success rate increase of more than 60% versus plain attack prompts, with tested models anonymized. The technique targets edge cases rather than typical use, and the article positions the work as guidance for defenders on potential jailbreak risks.

Palo Alto Unit 42 · Aug 17, 2026AI safety & security

Prisma SASE Archives

Palo Alto Unit 42 archive page describing Prisma SASE, which converges network security, SD-WAN and Autonomous Digital Experience Management in one service.

Vendor category page describing Prisma SASE as Palo Alto Networks' Secure Access Service Edge offering, combining network security, SD-WAN and Autonomous Digital Experience Management in a single service. The page contains no news, incident, vulnerability or research content.

Palo Alto Unit 42 · Aug 17, 2026Industry

AI Agents Are Here. So Are the Threats.

Unit 42 demonstrates nine framework-agnostic attack scenarios against AI agents built with CrewAI and AutoGen, causing data leakage, credential theft and remote code execution.

Palo Alto Networks Unit 42 investigated how attackers can target agentic applications, implementing two functionally identical apps with the open-source CrewAI and AutoGen frameworks and executing the same attacks on both. Nine attack scenarios produce outcomes including information leakage, credential theft, tool exploitation and remote code execution. Findings show most vulnerabilities are framework-agnostic, arising from insecure design patterns, misconfigurations and unsafe tool integrations rather than flaws in the frameworks themselves. The team published defense strategies per scenario and open-sourced the source code and datasets on GitHub.

Palo Alto Unit 42 · Aug 17, 2026AI safety & security

When AI Remembers Too Much

Unit 42 PoC shows indirect prompt injection can poison Amazon Bedrock Agent long-term memory, enabling silent exfiltration of conversation history across future sessions.

Palo Alto Networks Unit 42 published a proof of concept showing that indirect prompt injection can silently poison the long-term memory of Amazon Bedrock Agents when the memory feature is enabled. Malicious content on a webpage or document manipulates the agent's session summarization process, so injected instructions persist across sessions and are added to later orchestration prompts, silently exfiltrating user conversation history. The issue is not a vulnerability in the Amazon Bedrock platform but an illustration of the broader unsolved LLM prompt-injection challenge. Amazon reviewed the research and stated that Bedrock Guardrails with the prompt-attack policy provides effective mitigation.

Palo Alto Unit 42 · Aug 17, 2026AI safety & security

When AI Agents Go Rogue: Agent Session Smuggling Attack in A2A Systems

Unit 42 unveils agent session smuggling, where a rogue AI agent hides covert instructions in established Agent2Agent (A2A) protocol sessions to manipulate victim agents.

Palo Alto Networks Unit 42 discovered agent session smuggling, a new attack technique in which a malicious AI agent exploits an established cross-agent session under the Agent2Agent (A2A) protocol to send covert instructions hidden among benign client requests and server responses. The technique leverages the implicit trust agents place in collaborating agents and the stateful, multi-turn nature of A2A sessions; the researchers stress it affects any stateful protocol, not an A2A flaw. Unlike one-shot data-based attacks, a rogue agent can converse, adapt and build false trust over multiple interactions. Proposed mitigations include human-in-the-loop enforcement, cryptographically signed AgentCards for remote agent verification, and context-grounding to detect injected instructions.

Palo Alto Unit 42 · Aug 17, 2026AI safety & security2

When an Attacker Meets a Group of Agents: Navigating Amazon Bedrock's Multi

Unit 42 red-teamed Amazon Bedrock multi-agent applications, demonstrating prompt-injection attack chains that leak agent instructions and invoke tools, mitigated by Bedrock Guardrails.

Unit 42 red-teamed Amazon Bedrock Agents' multi-agent collaboration in Supervisor and Supervisor with Routing modes. The demonstrated attack chain detects the operating mode, discovers collaborator agents, delivers attacker-controlled payloads, and can disclose agent instructions and tool schemas and invoke tools with attacker-supplied inputs. No vulnerabilities were found in Bedrock itself, and the built-in prompt attack Guardrail blocked the attacks when properly configured. The researchers collaborated with Amazon's security team and frame the findings as a broader prompt injection risk for LLM-based systems.

Palo Alto Unit 42 · Aug 17, 2026AI safety & security

NOKKI Almost Ties the Knot with DOGCALL: Reaper Group Uses New Malware to Deploy RAT

Unit 42 links NOKKI malware to North Korea's Reaper group, uncovering the Final1stspy dropper that deploys the DOGCALL RAT in politically motivated attacks.

Unit 42 analyzed the NOKKI malware family used in politically themed attacks against Russian and Cambodian speakers since July 2018. The researchers linked NOKKI to the Reaper group, publicly attributed to North Korea, whose custom DOGCALL RAT uses third-party hosting services to upload data and receive commands. A previously unreported family, Final1stspy, was found deploying DOGCALL, sharing a unique base64-to-hex deobfuscation routine with NOKKI droppers. Attacks used malicious Microsoft Word macros that download and execute payloads while opening decoy documents.

Palo Alto Unit 42 · Aug 17, 2026Malware

The Fractured Block Campaign: CARROTBAT Used to Deliver Malware Targeting Southeast Asia

Unit 42 uncovers the Fractured Block campaign using the CARROTBAT dropper to deliver SYSCON and OceanSalt malware in cryptocurrency-themed attacks across Southeast Asia.

Unit 42 identified 29 CARROTBAT dropper samples used in the Fractured Block campaign, delivering decoy documents on cryptocurrencies, exchanges, and Korean political topics. Early samples delivered the SYSCON RAT, which uses FTP for command and control, while later ones dropped the previously reported OceanSalt malware. CARROTBAT supports 11 decoy file formats and uses certutil to download and execute payloads. Initial discovery stemmed from a December 2017 spear phishing attack on a British government agency, with infrastructure overlap tying the campaign to KONNI activity.

Palo Alto Unit 42 · Aug 17, 2026Malware

Cardinal RAT Sins Again, Targets Israeli Fin

Unit 42 documents updated Cardinal RAT attacks against Israeli FinTech firms, using BMP steganography, MD5-hash obfuscation, and process injection to hinder analysis and detection.

Unit 42 tracked a series of attacks using an updated Cardinal RAT (version 1.7.2) targeting the Israeli financial technology sector. The .NET loader hides a second-stage DLL inside an embedded BMP image decrypted with a single-byte XOR key, and the payload renames functions, methods, and variables to MD5 hashes for obfuscation. The malware installs a startup-folder LNK file and injects its final payload into RegSvcs.exe or RegAsm.exe, communicating with affiliatecollective[.]club over port 443. A possible relationship with the EVILNUM JavaScript malware used against similar organizations was also noted.

Palo Alto Unit 42 · Aug 17, 2026Malware2

The Gopher in the Room: Analysis of GoLang Malware in the Wild

Unit 42 analysis of 10,700 Go-compiled malware samples shows steady growth in the wild, with 92% targeting Windows and top families including Veil, GoBot2, and HERCULES.

Unit 42 collected roughly 10,700 unique Go-compiled malware samples and found that Go usage by malware developers has steadily risen in recent months. About 92% of samples targeted Windows and 75% were attributed to known families, led by Veil, GoBot2, and HERCULES. The most prevalent groupings were penetration testing tools, remote access Trojans, and backdoors. Statically linked Go binaries average 4.65MB, which can complicate phishing delivery but sometimes causes antivirus products to skip or fail scanning.

Palo Alto Unit 42 · Aug 17, 2026Research1

Cortex Xsoar

Palo Alto Networks Unit 42 hosts content under its Cortex XSOAR category, covering the vendor's security orchestration, automation and response platform.

The item is a Unit 42 category page for Cortex XSOAR rather than a standalone article; no article text was available. Cortex XSOAR is Palo Alto Networks' security orchestration, automation and response (SOAR) platform used for incident management and playbooks. No incident, vulnerability, or research findings could be extracted from the available information.

Palo Alto Unit 42 · Aug 17, 2026Tools

Best Practice Assessment Archives

Palo Alto Networks' Best Practice Assessment measures Next-Generation Firewall and Panorama configuration usage, enabling customers to strengthen security and maximize return on investment.

The Palo Alto Networks Best Practice Assessment measures usage of Next-Generation Firewall and Panorama security management capabilities across a customer deployment. The results are intended to guide configuration adjustments that strengthen security posture and maximize return on investment. The page is an archive listing for this product category rather than a new disclosure or release.

Palo Alto Unit 42 · Aug 17, 2026Industry

Prisma Access Archives

Unit 42 archive page for Prisma Access, Palo Alto Networks' cloud-delivered SASE offering combining networking and security for distributed workforces.

This is a product category archive page from Unit 42 describing Prisma Access. It characterizes the product as cloud-delivered secure access service edge (SASE) that transforms networking and security for digital workforces. No new research findings, incidents, or vulnerabilities are reported.

Palo Alto Unit 42 · Aug 17, 2026Industry

Another Apache Log4j Vulnerability Is Actively Exploited in the Wild (CVE-2021

Apache Log4j 2 RCE CVE-2021-44228 is actively exploited via crafted JNDI lookups; Palo Alto Unit 42 urges upgrading to Log4j 2.17.1.

Unit 42 details CVE-2021-44228, an easily exploited remote code execution flaw in Apache Log4j 2 where attacker-supplied JNDI lookups in logged user input cause payload download and execution. Massive internet-wide scanning for unpatched systems has begun, with observed follow-on activity including information stealing, Cobalt Strike delivery, and coinmining. The recommended fix is Log4j 2.17.1, which also patches CVE-2021-45046, CVE-2021-45105, and CVE-2021-44832. Widely used Java software including Apache Struts, Solr, Druid, Flink, ElasticSearch, and Spring Boot is affected.

Palo Alto Unit 42 · Aug 17, 2026Exploit / PoC in the wildCVE-2021-44228CVE-2021-45046CVE-2021-45105+3 CVEs

Threat Brief: Ongoing Russia and Ukraine Cyber Activity

Ukrainian government sites were defaced via OctoberCMS CVE-2021-32648 while Microsoft-attributed actor DEV-0586 deployed destructive WhisperGate malware.

Unit 42 tracks January 2022 attacks against Ukrainian government websites that were defaced or made inaccessible, which Ukraine attributed to Russia. Attackers exploited CVE-2021-32648, an account takeover flaw in OctoberCMS prior to 1.0.472, by submitting a boolean true as the password reset code to bypass validation. Separately, WhisperGate malware, attributed by Microsoft to DEV-0586, disabled Windows Defender and corrupted files across multiple Ukrainian organizations, using a ransomware-appearing first stage and an HTTPS-beaconing second stage with LOLBINs and anti-analysis techniques.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wildCVE-2021-326481

Threat Brief: Atlassian Confluence Remote Code Execution Vulnerability (CVE-2022

Unauthenticated Confluence RCE CVE-2022-26134 was exploited in the wild; Volexity observed intrusions and Cerber ransomware on unpatched servers.

Volexity identified exploitation of CVE-2022-26134, an unauthenticated remote code execution vulnerability in Atlassian Confluence Server and Data Center, during Memorial Day weekend 2022, with Atlassian issuing a patch. Cortex Xpanse found 19,707 potentially affected Confluence instances, concentrated in the US, Germany, China, and Russia, plus 1,251 end-of-life versions exposed. Unit 42 and Cortex Managed Threat Hunting observed successful exploitation leading to reconnaissance commands and a Cerber ransomware deployment that was blocked by Cortex XDR. A public PoC has increased exploitation risk.

Palo Alto Unit 42 · Aug 17, 2026Exploit / PoC in the wildCVE-2022-26134

Prisma Cloud WAAS Archives

Unit 42 archive page for Prisma Cloud WAAS, Palo Alto's web application and API security module; contains no new findings.

This is a product category archive page from Unit 42 describing Prisma Cloud Web Application and API Security (WAAS). It advertises protection spanning the OWASP Top 10, API protection, risk profiling, file upload and geolocation controls for cloud-native architectures. No new research findings, incidents, or vulnerabilities are reported.

Palo Alto Unit 42 · Aug 17, 2026Industry

Threat Brief: 3CXDesktopApp Supply Chain Attack (Updated)

Trojanized 3CXDesktopApp installers for Windows and macOS loaded RC4-encrypted shellcode delivering a backdoor to hundreds of thousands of 3CX users.

Threat actors compromised the 3CXDesktopApp build process, adding malicious libraries (ffmpeg.dll, d3dcompiler_47.dll) to installers downloaded from the developer's website. The Windows MSI loader decrypts embedded shellcode with RC4, sleeps for a random 1-4 weeks, then beacons to C2 hidden in icon files on GitHub. Unit 42 fingerprinted 247,277 IPs across 199 countries using 3CX applications and blocked shellcode execution at 127 Cortex XDR customers between March 9-30, 2023.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild1

Managed Threat Hunting

Unit 42 category index page for managed threat hunting with no article content.

The URL points to a Palo Alto Unit 42 product category listing for managed threat hunting. No article text or findings were provided.

Palo Alto Unit 42 · Aug 17, 2026Other

Introducing Unit 42’s Attribution Framework

Unit 42 releases its Attribution Framework, a systematic method using Diamond Model and Admiralty scores to attribute activity clusters to named threat actors.

Palo Alto Networks' Unit 42 introduced a structured framework for threat actor attribution built on the Diamond Model of Intrusion Analysis and Admiralty reliability/credibility scoring. The framework tracks activity at three levels: activity clusters (named CL-STA, CL-CRI, CL-UNK, or CL-MIX), temporary threat groups, and named threat actors using the constellation naming schema. Analysts score evidence across TTPs, tooling, malware code, OPSEC, infrastructure, timelines, and victimology to decide when to merge or elevate clusters, avoiding premature group naming.

Palo Alto Unit 42 · Aug 17, 2026Research

Campaign Evolution: pseudo

Unit 42 traces the pseudo-Darkleech campaign's 2016 shift from Angler to Neutrino to Rig exploit kits and rotating ransomware payloads.

Unit 42 documents how the pseudo-Darkleech exploit kit campaign evolved through 2016, switching from Angler EK to Neutrino EK in June and to Rig EK in September after Neutrino ceased operations. Payloads rotated from TeslaCrypt to CryptXXX, CrypMIC, and finally Cerber ransomware by October 2016. Injected script on compromised websites changed from 12,000-18,000 character obfuscated blocks to short, unobfuscated hidden iframes starting July 1, 2016.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild

Campaign Evolution: EITest from October through December 2016

Unit 42 details the EITest campaign's late-2016 changes: gates and obfuscation dropped, with Rig EK variants delivering ransomware and infostealers.

Unit 42 tracks the EITest campaign through late 2016, noting it abandoned the gate between compromised websites and exploit kit landing pages after its October 2016 report, and stopped obfuscating injected script URLs by October 15. The campaign primarily uses the Rig-E (Empire Pack) variant and sometimes Rig-V of Rig EK to deliver Cerber and CryptoMix ransomware plus infostealers such as Gootkit, the Chthonic banking Trojan, Ursnif variants, and Latentbot. Tracked since 2014 by Malwarebytes Labs and others, EITest targets unpatched Windows systems without specific victimology.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild

"Blank Slate" Campaign Takes Advantage of Hosting Providers to Spread Ransomware

Unit 42 profiles the Blank Slate malspam campaign: blank emails with double-zipped attachments delivering Cerber ransomware while cycling abused hosting provider domains.

The Blank Slate campaign sends empty emails containing double-zipped archives with macro-enabled Word documents or JavaScript files that launch PowerShell to download ransomware, primarily Cerber, and occasionally Sage 2.0 or Locky. Unit 42 observed 555 campaign domains over seven months, with actors repeatedly registering new domains and cycling abuse of legitimate hosting providers after takedowns. In a five-day January-February 2017 window, at least eight domains across seven IP addresses were observed hosting Cerber payloads.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild1

Mole Ransomware: How One Malicious Spam Campaign Quickly Increased Complexity and Changed Tactics

Unit 42 tracks the new Mole ransomware (CryptoMix family) spread via USPS-themed malspam, with tactics escalating to JavaScript downloaders dropping multiple malware families.

On April 11, 2017, a malspam campaign began distributing Mole ransomware, a CryptoMix-family strain, through USPS-themed emails linking to fake Microsoft Word Online sites offering a bogus Office plugin. By April 13 the campaign added Nemucod JavaScript downloaders installing Mole alongside Kovter and Miuref, and by April 18 it switched to the KINS banking Trojan before moving to speeding-ticket themes and a fake parking services website. Unit 42 notes the rapid tactic changes are likely intended to evade detection, and CryptoMix variants like Mole are typically repackaged within weeks.

Palo Alto Unit 42 · Aug 17, 2026Ransomware in the wild

Locky Ransomware Installed Through Nuclear EK

Unit 42 reports Locky ransomware delivered through the Nuclear exploit kit using Flash exploits, adding a drive-by path to existing malspam distribution.

Unit 42 observed Locky ransomware being delivered by the Nuclear exploit kit in March 2016 via Flash exploits, following February reports of Neutrino EK distributing Locky. Infections follow a drive-by chain through a gate to the Nuclear EK, which either installs Locky directly or drops a downloader that retrieves it from another domain. Locky retains two distribution paths: malspam with malicious Office macros or JavaScript attachments and exploit kit traffic triggered by casual web browsing.

Palo Alto Unit 42 · Aug 17, 2026Ransomware in the wild1

Campaign Evolution: Darkleech to Pseudo

Unit 42 traces the pseudo-Darkleech campaign, which compromises websites to inject scripts redirecting visitors to exploit kits delivering ransomware.

Palo Alto Networks Unit 42 analyzed the evolution of the pseudo-Darkleech campaign, which injects malicious script into compromised Apache, IIS and WordPress sites to redirect visitors to exploit kits such as Angler and Neutrino. The original Darkleech Apache module infected thousands of servers starting in 2012 and delivered Blackhole EK until that kit disappeared after Paunch's 2013 arrest. From 2015 onward, pseudo-Darkleech delivered ransomware families like CryptoWall and TeslaCrypt, and by early 2016 its injected scripts added obfuscated numeric blocks with frequently changing separator characters. Unit 42 tracks these patterns to help defenders identify compromised websites.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild

EITest Campaign Evolution: From Angler EK to Neutrino and Rig

Unit 42 details the EITest campaign's shift from Angler to Neutrino and Rig exploit kits while distributing ransomware, downloaders, and banking trojans.

Unit 42 updated its tracking of the EITest campaign, first identified in October 2014, which compromises websites with injected scripts that redirect victims through a gate to exploit kits. After Angler EK disappeared in June 2016, EITest switched to Neutrino and then primarily used Rig EK by August 2016. In September 2016 the campaign began using hex-obfuscated JavaScript and simplified gate URLs, while continuing to distribute payloads including Gootkit, Cerber, Bart, CryptFile2, Vawtrak, Ursnif, and Tinba. Gate infrastructure consistently reused IP blocks such as 85.93.0.0/24 even as domain names changed.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild

How the EITest Campaign's Path to Angler EK Evolved Over Time

Unit 42 documents how the EITest campaign's gate URLs and infrastructure evolved since 2014 while still routing victims to Angler EK and diverse malware.

Unit 42 traced network traffic changes in the EITest campaign, which Malwarebytes identified in October 2014 across thousands of compromised websites. The campaign's injected script patterns have remained consistent, but its gate URLs changed repeatedly, and since January 2016 gates used the 85.93.0.0/24 IP block, often with .tk domains. The gate returns a Flash file that redirects victims to Angler EK, which delivered malware including Vawtrak, Tinba, TeslaCrypt, Bedep, Kovter, Ursnif, and Zeus variants from 2014 through 2016.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild

Afraidgate: Major Exploit Kit Campaign Swaps Locky Ransomware for CryptXXX

Unit 42 reports the Afraidgate campaign switched from Nuclear EK delivering Locky to Angler EK delivering CryptXXX via the Bedep downloader.

Unit 42 reported that the Afraidgate campaign, which uses gates registered through FreeDNS at afraid.org, switched in mid-April 2016 from Nuclear EK distributing Locky ransomware to Angler EK distributing CryptXXX. The Angler/Bedep/CryptXXX combination also spread from the pseudo-Darkleech campaign, with Bedep acting as a fileless, memory-resident downloader that also installs click-fraud malware. Recent Bedep updates detect virtual machines and alter behavior, complicating analyst investigation. Unit 42 published gate, EK, and post-infection indicators including gate IP 185.118.164.42 and associated domains.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wild

Understanding Angler Exploit Kit

Unit 42 explains exploit kit fundamentals, describing how landing pages profile victims, deliver exploits, and install malware payloads on Windows hosts.

Unit 42 published a primer on exploit kit fundamentals, defining vulnerabilities, exploits, malware payloads, actors, and campaigns in EK-based attacks. It explains the infection chain: a landing page profiles the victim's Windows system for vulnerable applications such as Flash Player, Java, Silverlight, and Internet Explorer, then a matching exploit executes a downloader or final payload, often delivered encrypted with XOR or RC4. The post also describes the EK-as-a-Service business model, in which leading EKs are rented for a few thousand dollars per month while buyers supply campaign infrastructure.

Palo Alto Unit 42 · Aug 17, 2026Research1

Related CVEs

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  • CVE-2023-380518.1<1%
    A BOLA vulnerability in GET, PUT, DELETE /secretaries/{secretaryId} allows a low privileged user to fetch, modify or delete a low privileged user (secretary).
    A BOLA vulnerability in GET, PUT, DELETE /secretaries/{secretaryId} allows a low privileged user to fetch, modify or delete a low privileged user (secretary). This results in unauthorized access and unauthorized data manipulation.
    · easyappointments easyappointments—
  • CVE-2023-380548.1<1%
    A BOLA vulnerability in GET, PUT, DELETE /customers/{customerId} allows a low privileged user to fetch, modify or delete a low privileged user (customer).
    A BOLA vulnerability in GET, PUT, DELETE /customers/{customerId} allows a low privileged user to fetch, modify or delete a low privileged user (customer). This results in unauthorized access and unauthorized data manipulation.
    · easyappointments easyappointments—
  • CVE-2023-380508.1<1%
    A BOLA vulnerability in GET, PUT, DELETE /webhooks/{webhookId} allows a low privileged user to fetch, modify or delete a webhook of any user (including admin).
    A BOLA vulnerability in GET, PUT, DELETE /webhooks/{webhookId} allows a low privileged user to fetch, modify or delete a webhook of any user (including admin). This results in unauthorized access and unauthorized data manipulation.
    · easyappointments easyappointments—
  • CVE-2024-75877.8<1%
    Incorrect Default Permissions vulnerability in GenBroker32, which is included in the installers for Mitsubishi Electric GENESIS64 versions 10.97.3 and prior, Mi
    Incorrect Default Permissions vulnerability in GenBroker32, which is included in the installers for Mitsubishi Electric GENESIS64 versions 10.97.3 and prior, Mitsubishi Electric Iconics Digital Solutions GENESIS64 versions 10.97.3 and prior, Mitsubishi Electric ICONICS Suite versions 10.97.3 and prior, Mitsubishi Electric Iconics Digital Solutions ICONICS Suite versions 10.97.3 and prior, Mitsubishi Electric GENESIS32 versions 9.70.300.23 and prior, Mitsubishi Electric Iconics Digital Solutions GENESIS32 versions 9.70.300.23 and prior, and Mitsubishi Electric MC Works64 all versions allows a…
    · iconics genesis64 · iconics mc works64—
  • CVE-2023-32896.5<1%
    A BOLA vulnerability in POST /services allows a low privileged user to create a service for any user in the system (including admin).
    A BOLA vulnerability in POST /services allows a low privileged user to create a service for any user in the system (including admin). This results in unauthorized data manipulation.
    · easyappointments easyappointments—
  • CVE-2024-13136.5<1%
    It is possible for a user in a different organization from the owner of a snapshot to bypass authorization and delete a snapshot by issuing a DELETE request to
    It is possible for a user in a different organization from the owner of a snapshot to bypass authorization and delete a snapshot by issuing a DELETE request to /api/snapshots/ using its view key. This functionality is intended to only be available to individuals with the permission to write/edit to the snapshot in question, but due to a bug in the authorization logic, deletion requests issued by an unprivileged user in a different organization than the snapshot owner are treated as authorized. Grafana Labs would like to thank Ravid Mazon and Jay Chen of Palo Alto Research for discovering and…
    —
  • CVE-2023-32905.0<1%
    A BOLA vulnerability in POST /customers allows a low privileged user to create a low privileged user (customer) in the system.
    A BOLA vulnerability in POST /customers allows a low privileged user to create a low privileged user (customer) in the system. This results in unauthorized data manipulation.
    · easyappointments easyappointments—

Appears with

organization Unit 42 67organization Palo Alto Networks 59vendor Unit 42 31vendor Microsoft 29vendor CrowdStrike 21vendor Wiz 15vendor Google 15product Cortex XDR 14vendor Trend Micro 12vendor Fortinet 11product Prisma Cloud 10product Advanced URL Filtering 8product AutoFocus 7product Prisma Access 7vendor Sysdig 7vendor SentinelOne 7
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