Fact-checked by Grok 2 weeks ago

BASHLITE

BASHLITE is a family targeting Linux-based systems, particularly (IoT) devices such as digital video recorders (DVRs), IP cameras, and routers, to form botnets that conduct distributed denial-of-service (DDoS) attacks. First identified in September 2014, it exploits vulnerabilities like the flaw in the Bash command shell, as well as weak default credentials on and web interfaces, to propagate and infect devices. The , also known by aliases including Gafgyt, Qbot, Lizkebab, and Torlus, originated as an IRC-based before evolving to target ecosystems, infecting over one million devices by mid-2016 and establishing command-and-control () servers managing up to 120,000 bots each. Its capabilities include executing high-volume DDoS floods via protocols such as SYN, , ICMP, and GRE, with attack potentials reaching up to 400 Gbps; it also daemonizes processes, kills rival like Mirai variants, and has been adapted to target cloud environments and GPU resources for cryptomining in recent iterations. Primarily affecting DVRs and cameras (accounting for 95% of infections), it has hit routers from vendors like , , , and DrayTek, exploiting remote code execution flaws in these devices. BASHLITE's leaked in early , spawning over 12 variants and serving as a precursor to the more sophisticated , which amplified its influence on global cybersecurity by enabling massive DDoS incidents, including a record 620 Gbps attack on security researcher in 2016. Ongoing campaigns, such as those in 2019 targeting over 32,000 vulnerable routers worldwide and 2024 exploits of misconfigured APIs and weak SSH passwords, underscore its persistence and adaptation to modern infrastructures like cloud-native setups; variants remain active as of 2025.

Overview

Discovery and Initial Naming

BASHLITE was first detected in September 2014 by security researchers shortly after the disclosure of the vulnerability (CVE-2014-6271), a critical flaw in the shell that allowed remote code execution on affected systems. The emerged amid widespread exploitation attempts targeting vulnerable servers and embedded devices, with early detections tied to scans leveraging the newly revealed weakness. Trend Micro researchers coined the name BASHLITE to reflect the malware's reliance on the Bash shell for and , releasing a dedicated tool just days after ShellShock's public reveal on September 24, 2014. This naming highlighted its Linux-specific nature and distinguished it from prior threats. Subsequent analyses confirmed its focus on commandeering Linux-based devices for coordinated attacks. As awareness grew, other security firms adopted alternative designations based on observed samples and behaviors, including Gafgyt by in parallel references, Lizkebab, Torlus, and Qbot by various researchers tracking its variants. Early reports from firms like linked BASHLITE to a surge in Linux infections, particularly on unsecured embedded systems, setting the stage for its role in broader DDoS botnet ecosystems.

Core Purpose and Operations

BASHLITE is a family designed primarily to infect Linux-based systems and () devices, enlisting them into a for conducting distributed denial-of-service (DDoS) attacks. Its core objective is to overwhelm targeted servers, websites, or networks with excessive traffic, rendering them inaccessible to legitimate users. By exploiting vulnerabilities and weak credentials, BASHLITE transforms everyday connected devices—such as routers, cameras, and digital video recorders—into unwitting participants in these attacks. The operational workflow of BASHLITE begins with the compromise of vulnerable devices, often through scanning for open or SSH ports and attempting logins with default or common credentials. Once infected, the establishes a to a command-and-control () server, where it awaits instructions from the operator. Upon receiving commands, infected devices execute coordinated flood-based DDoS attacks, such as or floods, directing traffic toward specified addresses or domains to exhaust the target's resources. This process allows the to scale attacks rapidly by leveraging the collective of numerous compromised systems. BASHLITE demonstrated significant scale potential from its emergence. By mid-2016, research identified over 1 million devices under its influence across multiple servers, highlighting its ability to amass large armies of bots primarily from ecosystems. This growth underscored the malware's reliance on the expanding proliferation of unsecured connected devices.

Technical Architecture

Infection Vectors

BASHLITE primarily infects devices by exploiting the vulnerability (CVE-2014-6271) in the shell, targeting Linux-based systems through HTTP requests to vulnerable web servers or scripts that invoke . This method allows attackers to execute arbitrary commands remotely, downloading and running malware payloads such as scripts (e.g., bin.sh) that install the botnet agent on unpatched embedded devices, including those using for lightweight Unix-like environments common in hardware. In addition to Shellshock, BASHLITE spreads by scanning for open (ports 23 and 2323) and SSH ports on internet-connected devices, attempting logins with a hardcoded list of weak or default credentials, such as "admin," "root," or "123456." This brute-force approach exploits factory-default settings on devices like routers, DVRs, and IP cameras from manufacturers such as Dahua, , and , which often ship with enabled remote access and unchanged passwords. The focuses on Linux-based systems and unpatched servers, prioritizing those exposed to the via Shodan-like scans for vulnerable ports and services, enabling rapid propagation across networks of devices with minimal security configurations.

Structure

BASHLITE utilizes a centralized () architecture centered on dedicated servers that manage communications with infected devices through a custom protocol modeled after Internet Relay Chat (IRC). The embeds hardcoded addresses of these servers directly into its binary, enabling bots to connect immediately after without relying on dynamic . These servers, frequently hosted on providers or content delivery networks, allow operators to broadcast directives to thousands of compromised devices simultaneously, with analysis identifying 486 unique IPs distributed across 93 autonomous systems in 32 countries. The communication protocol operates over unencrypted TCP connections in plaintext, emulating IRC functionality while remaining lightweight to suit resource-constrained IoT hardware. Bots initiate sessions with C2 servers, typically on IRC-standard port 6667, though propagation often involves Telnet interactions on port 23. Commands are formatted as simple strings prefixed by an exclamation mark, such as !* TCPFLOOD <target IP> <port> <duration> <threads> <flags>, which instruct bots to execute specific actions; observed commands fall into categories like attacks (66.4% of traffic), management (18.4%), and interrupts (13.1%), with keep-alive PING/PONG messages exchanged every 60 seconds to sustain connections. For sustained operation and botnet growth, BASHLITE integrates self-propagation scripts within infected devices that continuously scan the network for new victims using brute-force credential attacks on Telnet and SSH services. Successful infections are reported back to the C2 server via the IRC-like channel, enabling automated expansion without manual intervention from operators; this mechanism, activated by commands like "!SCANNER ON," ensures the botnet's resilience and scale post-infection.

DDoS Attack Methods

BASHLITE employs a range of volumetric DDoS techniques to flood targets with excessive traffic, primarily leveraging the compromised devices' ability to send high volumes of packets. The core attack methods include TCP SYN floods, which initiate numerous incomplete handshakes to exhaust server resources by filling connection queues with half-open connections; UDP floods, which bombard targets with unsolicited UDP packets to saturate ; ICMP floods, which send excessive (ICMP) echo requests (pings) to overwhelm network resources; GRE floods, which exploit (GRE) packets to generate high-volume traffic; and HTTP GET/POST floods, which overwhelm web servers by simulating excessive legitimate requests at the . These methods target common ports such as 80 (HTTP), 443 (), and 53 (DNS), prioritizing simplicity and effectiveness over sophisticated evasion. The 's (C2) infrastructure directs these attacks through straightforward syntax issued to infected bots, typically formatted as " [optional parameters]". For instance, a TCP SYN flood might use "tcpflood syn", where the "syn" flag specifies the SYN-based variant, instructing bots to generate spoofed SYN packets for the specified time in seconds. Similarly, UDP floods can be commanded as "udpflood ", sending raw UDP datagrams without establishing connections, while ICMP floods use "icmpflood " and GRE floods use "gre ". HTTP floods follow analogous patterns, often denoted by methods like "httpflood" to repeatedly request resources. This modular command structure enables rapid deployment across the botnet. Infected devices, often left always-on and undersecured, serve as persistent traffic generators, enabling sustained assaults that can scale significantly with size. Historical incidents demonstrate BASHLITE's capacity for attacks reaching up to 400 Gbps, achieved by coordinating thousands of low-bandwidth devices into a unified without relying on in all cases. This leverages the devices' continuous availability for prolonged durations, often measured in minutes to hours as specified in commands.

Historical Development

Emergence in 2014

BASHLITE emerged in 2014, coinciding with the rapid expansion of (IoT) adoption, as the global installed base of connected devices surpassed 16 billion units that year. The malware's appearance followed closely after the public disclosure of the vulnerability (CVE-2014-6271) on September 24, 2014, which exposed flaws in the Bash shell commonly used in Linux-based systems. First identified in September 2014, BASHLITE targeted the burgeoning ecosystem of unsecured hardware, marking an early exploitation of the vulnerabilities inherent in this emerging technology landscape. The was likely developed by anonymous cybercriminals linked to the Lizard Squad group, who operated without confirmed state sponsorship and focused on profit-driven cyber operations. Initially known under aliases such as Lizard Stresser, it powered a commercial DDoS-for-hire service launched in late , allowing customers to rent resources for targeted disruptions. This model reflected the motivations of opportunistic actors seeking to monetize compromised devices amid the low in the underground DDoS market at the time. BASHLITE achieved rapid early spread by compromising unpatched servers and nascent devices, including home routers, through weak default credentials and exploits like in environments. Infections proliferated quickly across vulnerable embedded systems, building scale in months and prompting initial responses from security researchers who collaborated with ISPs for the first takedowns in 2015.

Key Variants and Evolutions

One of the earliest significant variants of BASHLITE emerged in 2015 following the leak of its , which spurred the development of over 12 iterations, including Gafgyt. Another early evolution was Lizkebab. A pivotal evolution occurred in 2016 with the emergence of Mirai, which served as a precursor influenced by BASHLITE's to achieve faster across networks. Mirai integrated self-contained scanning directly into the , eliminating the need for external tools and enabling rapid credential brute-forcing on a larger scale, which contrasted with BASHLITE's more modular approach. This adaptation allowed Mirai to amass botnets significantly larger than its predecessor, leveraging similar weak credential exploits but with added resilience through DNS-based command-and-control resolution. By 2019, BASHLITE itself saw direct updates that expanded its functionality beyond DDoS, incorporating mining modules and persistent backdoor commands for remote access. These enhancements targeted devices such as WeMo smart plugs, allowing operators to download and execute mining payloads alongside traditional commands, thereby diversifying revenue streams for threat actors. In 2024, variants under the Gafgyt lineage shifted focus toward cloud environments, exploiting weak SSH passwords on misconfigured servers, including those in AWS ecosystems, to deploy payloads from memory without disk writes. These updates emphasized GPU-accelerated cryptocurrency mining, prioritizing high-compute cloud instances like EC2 for greater efficiency over DDoS recruitment. Gafgyt variants exploited the CVE-2023-1389 command injection vulnerability in routers to propagate, as did related botnets like Moobot. Later in 2024, Gafgyt campaigns targeted publicly exposed misconfigured Docker remote servers to deploy the malware via container creation.

Impact and Incidents

Targeted Devices and Scale

BASHLITE primarily targets () devices running -based operating systems, particularly those with and architectures, which are common in embedded systems due to their efficiency and widespread use in . Key examples include wireless routers, IP cameras, digital video recorders (DVRs), and smart plugs such as WeMo devices, as well as servers vulnerable to weak . These devices are often compromised through default credentials or unpatched vulnerabilities, enabling the to propagate and form botnets capable of coordinated distributed denial-of-service (DDoS) attacks. Industrial embedded systems, such as those in manufacturing equipment, are equally susceptible alongside consumer gadgets, highlighting the malware's broad reach across both sectors. The scale of BASHLITE infections has demonstrated significant growth, with botnets peaking at over 1 million devices by mid-2016, predominantly comprising DVRs and cameras that fueled large-scale DDoS operations. This expansion was driven by the malware's ability to exploit the rapid proliferation of insecure hardware, resulting in millions of infection attempts documented through honeypot analyses capturing over 342 million commands from more than 2.3 million unique addresses. As of 2024, ongoing variants continue to infect millions of vulnerable devices globally, sustained by persistent flaws in device and supply chain weaknesses. Some evolutions of BASHLITE have briefly extended to cloud-native environments, broadening potential infection vectors.

Notable DDoS Events

In 2015 and 2016, variants of BASHLITE, notably LizardStresser, were deployed by the Lizard Squad hacking group to execute DDoS attacks against gaming networks and internet service providers (ISPs). These incidents targeted platforms such as Xbox Live and Daybreak Games, causing widespread disruptions to online multiplayer services and affecting millions of users during holiday periods. One prominent attack in June 2016 peaked at 400 Gbps, leveraging compromised IoT devices like webcams and routers to overwhelm targets without amplification techniques, highlighting the growing scale of IoT-driven threats. The attacks prompted enhanced mitigation efforts by affected providers, including traffic filtering and collaboration with cybersecurity firms to dismantle related infrastructure. A significant overlap with BASHLITE occurred in the October 2016 DDoS assault on Dyn, a major DNS provider, which peaked at 1.2 Tbps and led to extensive internet outages across the and . This event, primarily powered by the Mirai botnet, disrupted access to high-profile sites including , , and for several hours. Mirai's codebase evolved directly from BASHLITE, incorporating similar infection mechanisms and DDoS payloads while expanding scanning capabilities for vulnerable devices. The attack's consequences included economic losses estimated in millions and accelerated global awareness of security risks, spurring regulatory discussions on device standards. In 2024, updated variants of BASHLITE, such as Gafgyt, shifted focus toward cloud-native environments, exploiting weak SSH passwords to infect servers and enable DDoS campaigns against hosted services. These attacks disrupted operations on platforms similar to AWS by commandeering GPU resources for both and flooding, demonstrating the malware's to hybrid cloud- ecosystems. In 2025, Gafgyt continued to evolve, with campaigns targeting misconfigured remote servers to deploy and build botnets for DDoS attacks, alongside surges in device exploits contributing to large-scale disruptions. Active indicators of were reported as of 2025.

Mitigation Strategies

Exploited Vulnerabilities

BASHLITE primarily exploited the vulnerability, designated as CVE-2014-6271, which carries a CVSS base score of 10.0 and enables remote code execution through the improper processing of trailing strings after function definitions in environment variables by the GNU Bash shell versions up to 4.3. This flaw allowed attackers to inject and execute arbitrary commands on vulnerable Linux-based systems, particularly those running , facilitating the initial infection of devices shortly after the vulnerability's disclosure in September 2014. In addition to , BASHLITE targeted devices with weak authentication mechanisms on and SSH services, commonly exploiting default or unchanged credentials that manufacturers set for administrative access, without relying on a specific CVE but leveraging widespread misconfigurations in ecosystems. Later variants, such as Gafgyt, expanded to exploit CVE-2017-18368, a command injection vulnerability in P-660HN-T1A routers running firmware versions prior to 3.40(ULM.0)b31, allowing remote attackers to execute arbitrary code via crafted HTTP requests to the web management interface. More recent evolutions of BASHLITE, including Gafgyt strains, have incorporated exploits for CVE-2023-1389, a command injection flaw in Archer AX21 routers with versions before 1.1.4 Build 20230219, where improper handling of the "" parameter in the web interface permits unauthenticated remote code execution. These variants demonstrate a pattern of targeting buffer overflows and injection points in router to propagate across networks. As of 2025, BASHLITE and its derivatives persist in exploiting unpatched vulnerabilities in devices, reliance on factory-default credentials, and openly accessible services such as , which remain prevalent due to delayed updates in resource-constrained environments. This approach underscores the malware's adaptability to common security oversights rather than solely zero-day flaws, enabling sustained infections in embedded systems.

Detection and Prevention Techniques

Detection of BASHLITE infections primarily relies on network-based monitoring techniques that identify characteristic communication patterns and anomalous traffic generated by compromised devices. Security tools such as Snort and enable the analysis of packet captures () to detect IRC-based command-and-control () traffic, which BASHLITE commonly uses on port 6667 for coordination. Custom signatures in Snort can target IRC protocols, brute-force attempts on /SSH ports (e.g., 23/ and 22/), and file downloads associated with propagation, achieving detection accuracies up to 99.95% on datasets like IoT-23. Similarly, facilitates manual inspection of outbound DDoS packets, revealing unusual UDP/ flooding patterns or floods that deviate from normal device behavior, such as high-volume traffic to random addresses. Anomaly detection complements signature-based methods by flagging deviations in network flows, including sudden spikes in egress traffic or connections to known malicious IRC servers. Intrusion detection systems (IDS) like , which supports multi-threading for efficient processing of traffic, can generate alerts for these anomalies with processing times as low as 112 seconds on Bot-IoT datasets and CPU usage under 15% at high packet rates. For instance, Suricata's rulesets can monitor for propagation scripts attempting dictionary attacks on weak credentials, a core infection vector for BASHLITE. Prevention strategies emphasize securing IoT devices against BASHLITE's exploitation of default configurations and unpatched vulnerabilities. Regularly applying updates and security patches is essential to close known flaws, such as those in or shell interpreters that BASHLITE targets via or SSH. Disabling unnecessary remote access services like (port 23/) and SSH, or restricting them to specific users, prevents initial infections through brute-force attacks; blocking non-essential ports like 48101/ further limits exposure. Implementing strong, unique policies overrides default credentials, which BASHLITE scanners exploit extensively. Network segmentation via firewalls isolates devices into separate VLANs or subnets, preventing lateral movement if one is compromised and containing DDoS traffic to affected segments. Firewalls should enforce rules to block inbound connections to vulnerable ports and outbound to suspicious destinations, with next-generation firewalls dynamically adjusting segments based on profiles. like can be integrated into these setups to actively drop malicious packets in , enhancing overall resilience. Advanced measures incorporate behavioral analysis to detect subtle propagation and activities beyond static signatures. (EDR) tools, such as those from , can monitor for anomalous script executions on supported gateways or edge devices, identifying BASHLITE's scripts that attempt or binary downloads through runtime behavior profiling. This approach flags deviations like delayed process launches or memory-resident payloads, common in BASHLITE variants to evade traditional antivirus. For botnet disruption, sinkholing redirects traffic from identified IRC servers to controlled sinks, isolating infected devices and preventing command receipt; this has been effective against IRC-based s by hijacking DNS resolutions for known malicious channels. Recent Gafgyt variants as of November 2025 have expanded to cloud environments, exploiting misconfigured remote APIs and weak SSH passwords. To mitigate these, bind APIs to or use and TLS; for SSH, enforce key-based and disable password logins.

References

  1. [1]
    Bashlite - NJCCIC
    Bashlite, also known as Qbot, Lizkebab, Torlus, and Gafgyt, was discovered in September 2014 after the ShellShock vulnerability found in the Bash command shell ...
  2. [2]
    Bashlite (Malware Family) - Malpedia
    Bashlite is a malware family which infects Linux systems in order to launch distributed denial-of-service attacks (DDoS). Originally it was also known under ...
  3. [3]
    The Evolution of Bashlite and Mirai IoT Botnets - IEEE Xplore
    Vulnerable IoT devices are powerful platforms for building botnets that cause billion-dollar losses every year. In this work, we study Bashlite botnets and ...
  4. [4]
    [PDF] A Detailed Analysis of the Gafgyt Malware Targeting IoT Devices
    Gafgyt malware, also known as Bashlite, along with Mirai, have targeted millions of vulnerable IoT devices in the last few years. The recently compiled ...
  5. [5]
    Press Releases - Trend Micro | Newsroom
    One of the free tools featured, the on-demand BashLite Malware Scanner, will determine if the BashLite malware is resident on Linux systems. "Shellshock ...
  6. [6]
    GAFGYT - Threat Encyclopedia | Trend Micro (US)
    May 3, 2021 · GAFGYT, also known as BASHLITE, was first discovered in 2014. It is a Linux-based IoT botnet primarily targets any vulnerable IoT devices ...
  7. [7]
    BASHLITE Botnets Ensnare 1 Million IoT Devices - SecurityWeek
    Aug 31, 2016 · Nearly one million devices have been infected with a piece of malware and abused for distributed denial-of-service (DDoS) attacks.
  8. [8]
    [PDF] The Evolution of Bashlite and Mirai IoT Botnets
    DDoS attacks are frequently launched from botnets, a set of of network devices infected with malware, known as bots or zombies. Botnets include command and ...
  9. [9]
    'Bashlite' Malware Leverages ShellShock In BusyBox Attack
    Nov 14, 2014 · Researchers at Trend Micro are warning that a new version of the Bashlite malware is using the ShellShock vulnerability (CVE-2014-6271) to gain control of ...
  10. [10]
    A new BASHLITE variant infects devices running BusyBox
    Nov 16, 2014 · A new variant of the BASHLITE malware exploiting the ShellShock vulnerability was used by cyber criminals to infect devices that use BusyBox ...
  11. [11]
    BASHLITE Malware leverages ShellShock Bug to Hijack Devices ...
    Nov 17, 2014 · ... 2014-6271) in order to infect embedded devices running BusyBox software, according to a researcher. A new variant of "Bashlite" malware ...
  12. [12]
    BASHLITE Malware Uses ShellShock to Hijack Devices Running ...
    Nov 14, 2014 · A version of the BASHLITE malware scans compromised networks for devices that use BusyBox and attempts to gain control of them by leveraging ...
  13. [13]
    Heightened DDoS Threat Posed by Mirai and Other Botnets - CISA
    Oct 17, 2017 · An IoT botnet powered by Mirai malware created the DDoS attack. The Mirai malware continuously scans the Internet for vulnerable IoT devices.<|control11|><|separator|>
  14. [14]
    [PDF] The Evolution of Bashlite and Mirai IoT Botnets - UFMG
    Botnets include command and control servers. (C&C), which maintain connections with active bots and allow the botnet's operator to broadcast commands to them.Missing: structure | Show results with:structure
  15. [15]
  16. [16]
    Neko, Mirai and Bashlite Target Routers, Devices | Trend Micro (US)
    Aug 13, 2019 · Within a span of three weeks, our telemetry uncovered three notable malware variants of Neko, Mirai, and Bashlite. These malware variants ...
  17. [17]
    [PDF] IoT Botnet Targets Global Organizations with Large-Scale DDoS ...
    botnet uses various commands for. DDoS attacks, including socket, handshake, stomp, syn, ack, udph, tonudp, gre, update, exec, kill, socks, and udpfwd. • ...
  18. [18]
    LizardStresser IoT botnet launches 400Gbps DDoS attack
    Jun 30, 2016 · Attack groups using the LizardStresser botnet are exploiting IoT devices to mount massive DDoS attacks without using amplification ...
  19. [19]
    Internet of Things By The Numbers: Market Estimates And Forecasts
    Aug 22, 2014 · ABI Research: The installed base of active wireless connected devices will exceed 16 billion in 2014, about 20% more than in 2013. The number of ...
  20. [20]
    Lizard Stresser Runs on Hacked Home Routers - Krebs on Security
    Jan 9, 2015 · The online attack service launched late last year by the same criminals who knocked Sony and Microsoft's gaming networks offline over the holidays is powered ...Missing: BASHLITE | Show results with:BASHLITE
  21. [21]
    Bashlite Updated with Mining and Backdoor Commands - Trend Micro
    Apr 3, 2019 · We uncovered an updated Bashlite malware designed to add infected internet-of-things devices to a distributed-denial-of-service (DDoS) botnet.
  22. [22]
    Gafgyt Malware Variant Exploits GPU Power and Cloud Native ...
    Aug 14, 2024 · This campaign is targeting machines with weak SSH passwords, executing 2 binaries from memory to increase the Gafgyt botnet and mine crypto currency with GPU ...
  23. [23]
    Botnets Continue Exploiting CVE-2023-1389 for Wide-Scale Spread
    Apr 16, 2024 · Gafgyt Variant. Gafgyt, also known as BASHLITE, is malware that infects Linux architecture operating systems to launch a DDoS (distributed ...
  24. [24]
    A Malware Distribution Simulator for the Verification of Network ...
    Oct 21, 2021 · BASHLITE—2014. Similar to Mirai, BASHLITE's goal is to conduct DDoS attacks by infecting ARM and MIPS architecture-based Linux IoT devices.
  25. [25]
    IoT devices in Asia are primary target for new InterPlanetary Storm ...
    Oct 2, 2020 · The majority of the machines infected by the malware are located in Asia. 59% of infected machines are in Hong Kong, South Korea, and Taiwan; 8% ...
  26. [26]
    Lizard Squad is back: group 'attacks Xbox Live and Daybreak Games'
    Feb 16, 2015 · Notorious hacking group Lizard Squad has reportedly launched a fresh series of attacks against games and game services this weekend, including Xbox Live.
  27. [27]
    Lizard Squad: Original Pranksters - Infosecurity Magazine
    May 29, 2015 · Whether meddling kids or a serious menace, Lizard Squad is part of a phenomenon that is here to stay, concludes Fahmida Rashid.
  28. [28]
    LizardStresser recruits an army of zombie webcams to launch DDoS ...
    Do you have an internet-accessible webcam? If so, are you sure it is secured with a strong password and not still using the default password that it shipped ...Missing: methods | Show results with:methods
  29. [29]
    Lizard Squad Archives - Security Affairs
    A joint operation of international law enforcement agencies allowed the arrest of suspected Lizard Squad Hackers in the US and Netherlands. Law enforcement in ...Missing: BASHLITE notable
  30. [30]
    Massive DDoS Attack Against Dyn DNS Service Knocks Popular ...
    Oct 21, 2016 · Recently, the Internet witnessed a record-breaking largest DDoS attack of over 1 Tbps ... Starting at 11:10 UTC on October 21th-Friday 2016 ...
  31. [31]
    Re-Hash: The Largest DDoS Attacks in History [2022 Update]
    The Dyn DDoS attack, which measured in at 1.2 Tbps and was considered the largest DDoS attack at the time, brought down much ...Attacks Vary In Terms Of... · How Ddos Attacks Are... · How Ddos Attack Routes Are...<|control11|><|separator|>
  32. [32]
    [PDF] Understanding the Mirai Botnet - Google Research
    Feb 28, 2017 · Telnet TCP ports 23 and 2323 (hereafter denoted TCP/23 and TCP/2323). If Mirai identifies a potential victim, it en- tered into a brute ...
  33. [33]
    DDoS attack that disrupted internet was largest of its kind in history ...
    Oct 26, 2016 · Dyn, the victim of last week's denial of service attack, said it was orchestrated using a weapon called the Mirai botnet as the 'primary ...
  34. [34]
    New Gafgyt Botnet Variant Targets Weak SSH Passwords for GPU ...
    Aug 15, 2024 · The infected devices are corralled into a botnet capable of launching distributed denial-of-service (DDoS) attacks against targets of interest.
  35. [35]
    International crackdown disrupts DDoS-for-hire operations
    Dec 12, 2024 · An operation known as PowerOFF led to the arrest of three individuals and the shutdown of 27 domains. By Greg Otto. December 12, 2024.<|control11|><|separator|>
  36. [36]
  37. [37]
    2022 IoT Threat Review | FortiGuard Labs - Fortinet
    Jan 13, 2023 · FortiGuard Labs continuously monitors the IoT botnet threat landscape for new and emerging campaigns. Read our blog with insights into ...
  38. [38]
  39. [39]
    Zyxel security advisory for a new variant of Gafgyt malware
    CVE: CVE-2017-18368 Summary Zyxel P660HN-T1A devices running their latest firmware, version 3.40(BYF.11), are immune to the latest variant of Gafgyt malware ...Missing: BASHLITE ZTE
  40. [40]
  41. [41]
    Home & Small Office Wireless Routers Exploited to Attack Gaming ...
    Oct 31, 2019 · We discovered an updated Gafgyt variant attempting to infect IoT devices; specifically small office/home wireless routers of known commercial brands like Zyxel ...Missing: BASHLITE ZTE<|control11|><|separator|>
  42. [42]
    [PDF] Collaborative Device-level Botnet Detection for Internet of Things
    • Evaluation of device-level botnet detection using IoT datasets (ISOT, IoT23 and BotIoT) with Snort and Suricata ... bashlite and mirai iot botnets. In 2018 IEEE ...
  43. [43]
    [PDF] Detecting Unusual Activities in Local Network Using Snort and ...
    Snort-IDS uses rules to match packet traffic and generate alerts. Wireshark analyzes data packets. Both tools are used to detect unusual network activities.
  44. [44]
    New Trojan Virus Is Targeting IoT Devices - SentinelOne
    Oct 14, 2016 · The threat is a new variant of the Gafgyt, (aka BASHLITE, aka Torlus) malware, which has been used by distributed denial of service (DDoS) ...
  45. [45]
    Using a Security-Driven Network to Address Persistent IoT Botnets
    Jan 27, 2020 · Next-generation firewalls need to dynamically create network segments based on the business objectives of devices. Active Inventory ...
  46. [46]
    IoT Security: What are the Challenges and Battle-Tested Solutions
    3. Network Segmentation & Firewalls. Segmenting IoT devices from core infrastructure prevents lateral movement in case of a breach. Virtual firewalls and ...
  47. [47]
    Endpoint Detection and Response (EDR) - CrowdStrike
    How CrowdStrike's EDR solution empowers organizations to easily deploy its advanced protection, whether you are new to EDR or a seasoned security expert.Missing: BASHLITE sinkholing
  48. [48]
    Botnets Unveiled: A Comprehensive Survey on Evolving Threats ...
    Oct 20, 2024 · Botnets have emerged as a significant internet security threat, comprising networks of compromised computers under the control of command ...