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Browser Exploit Against SSL TLS - BEAST

BEAST (Browser Exploit Against SSL/TLS) was a security vulnerability discovered in September 2011. This vulnerability primarily affected the TLS (Transport Layer Security) protocol, specifically the Cipher Block Chaining (CBC) encryption mode in conjunction with the SSLv3 and TLS 1.0 protocols.

BEAST allowed an attacker to eavesdrop on and decrypt encrypted traffic between a web browser and a server. This was achieved by exploiting a weakness in the way CBC encryption was implemented in SSL/TLS.

To protect against BEAST attacks, it was recommended to upgrade to newer versions of TLS and to use alternative encryption methods that were not vulnerable to this weakness. Many web servers and browsers also implemented patches to mitigate the impact of BEAST.

 


Padding Oracle On Downgraded Legacy Encryption - POODLE

POODLE (Padding Oracle On Downgraded Legacy Encryption) was a security vulnerability in the SSLv3 (Secure Sockets Layer version 3) encryption protocol, discovered in October 2014. This vulnerability allowed an attacker to eavesdrop on and manipulate encrypted traffic between a web browser and a server. The attack exploited a weakness in the way SSLv3 processed blocks of encrypted data with padding. By exploiting this vulnerability, an attacker could, under certain circumstances, steal sensitive information such as cookies.

Due to the severity of the vulnerability, security experts recommended disabling the use of SSLv3 and upgrading to newer and more secure encryption protocols such as TLS (Transport Layer Security). Many web servers and browsers removed or disabled SSLv3 support to protect against POODLE attacks.

 


Common Weakness Enumeration - CWE

CWE stands for "Common Weakness Enumeration." It is a standardized list of known security vulnerabilities and weaknesses commonly found in software applications and systems. Managed and maintained by the MITRE Corporation, a nonprofit organization, CWE serves as a reference for security professionals, developers, and organizations to identify, understand, and address vulnerabilities.

CWE contains several hundred entries, each with a unique number and description, categorized into various groups, including injection flaws, cross-site scripting (XSS), authentication issues, sensitive data exposure, and cryptographic weaknesses.

It serves as a valuable tool for risk assessment, security analysis, and software development, helping developers understand and mitigate security vulnerabilities before they can be exploited. CWE is often used in conjunction with other security standards and guidelines, such as the Common Vulnerability Scoring System (CVSS) and the OWASP Top Ten.

 


Obfuscation

Obfuscation is a process where the source code of a program is altered to make it difficult for humans to understand while maintaining its functionality. This is often done to protect the source code from reverse engineering or to make it more compact without affecting functionality. Techniques such as renaming variables and functions, adding unnecessary code, or altering the program's structure are used. Obfuscation is commonly employed in software development, especially in the creation of commercial software products or in providing software as a service (SaaS), to protect intellectual property and make unwanted manipulation more difficult


Firewall

A firewall is a network security device or software that monitors and controls incoming and outgoing network traffic based on predetermined security rules. It acts as a barrier between a trusted internal network and untrusted external networks, such as the internet, to prevent unauthorized access to or from the internal network.

Firewalls can be implemented in various forms:

  1. Network Firewall: This type of firewall is typically deployed at the perimeter of a network, such as between an organization's internal network and the internet. It examines packets of data as they pass through, filtering them based on predefined rules to allow or block traffic.

  2. Host-Based Firewall: Host-based firewalls are installed on individual computers or devices to control traffic at the device level. They provide an additional layer of defense by filtering traffic based on specific rules configured for that host.

Firewalls operate based on different filtering methods:

  • Packet Filtering: Packet-filtering firewalls examine packets of data as they pass through the network based on criteria such as source and destination IP addresses, port numbers, and protocols. They make decisions to allow or block packets based on predefined rules.

  • Stateful Inspection: Stateful inspection firewalls keep track of the state of active connections and use this information to make decisions about whether to allow or block traffic. They maintain a record of the state of connections, such as TCP handshakes, and only allow traffic that corresponds to legitimate, established connections.

  • Proxy Firewalls: Proxy firewalls act as intermediaries between clients and servers, intercepting and inspecting traffic before forwarding it to its destination. They can provide additional security by hiding the internal network's IP addresses and applying advanced security measures such as content filtering and application-layer inspection.

Firewalls are a fundamental component of network security and help protect against unauthorized access, data breaches, malware infections, and other cyber threats by enforcing access control policies and filtering potentially harmful traffic.

 


Intrusion Detection Systems - IDS

Intrusion Detection Systems (IDS) are security solutions designed to continuously monitor networks or computer systems and look for potential security breaches or attacks. The purpose of an Intrusion Detection System is to detect suspicious activities that may indicate an intrusion into a network or system, and subsequently trigger alerts or take actions to ensure security.

There are two main types of Intrusion Detection Systems:

  1. Network-based Intrusion Detection Systems (NIDS): These systems monitor the traffic within a network and look for anomalies or known attack patterns. They analyze packets being transmitted across the network to detect suspicious activities that may indicate an attack or security breach.

  2. Host-based Intrusion Detection Systems (HIDS): In contrast to NIDS, HIDS monitor activities on individual hosts or computers. They monitor system logs, file systems, and other system resources for signs of attacks or unusual behavior that may indicate a security breach.

An Intrusion Detection System can be either signature-based or behavior-based:

  • Signature-based IDS: These detect attacks based on pre-defined patterns or signatures of known attacks. They compare network traffic or system behavior to a database of known attack signatures and trigger an alert when matches are found.

  • Behavior-based IDS: These analyze the normal behavior of the network or system and look for deviations or anomalies that may indicate potential attacks. They operate on the principle that attacks often cause unusual activities that deviate from normal operational behavior.

Intrusion Detection Systems play a crucial role in monitoring and securing networks and computer systems by responding early to potential threats and detecting security breaches to take appropriate countermeasures.

 


HTTP-Amplification

HTTP Amplification is a term often used in the context of cyber attacks and internet security. It refers to a type of Distributed Denial of Service (DDoS) attack where the attacker uses HTTP requests to redirect excessive traffic to a server or website.

Essentially, the attacker exploits a variety of HTTP requests to overwhelm the server, making it inaccessible to legitimate users. This is often done by exploiting vulnerabilities in web server configurations or utilizing botnets to send a large number of requests.

The term "Amplification" refers to how the attacker "amplifies" the traffic by sending small requests, which are then responded to by the server in much larger replies. This can cause the server to expend a significant amount of resources processing these requests, rendering it unreachable for legitimate users.

To protect against HTTP Amplification attacks, web servers can be configured to limit requests or implement filters to identify and block suspicious requests. Additionally, Content Delivery Networks (CDNs) and DDoS protection services can be employed to monitor traffic and mitigate attacks before they reach the server.

 


Slowloris Attack

A Slowloris attack is a form of a "Low-and-Slow" attack that aims to overload a web server and prevent access to it by tying up all available connections to the server. In a Slowloris attack, the attacker sends many HTTP requests to the server, but does so extremely slowly by intentionally delaying the data transfer.

Typically, the attacker opens many connections to the server and keeps them open by sending only part of the request and then leaving the connection open by sending additional parts of the request slowly or simply not sending any further data. This way, all available connections to the server are tied up, preventing legitimate users from establishing a connection since there are no free connections available.

This attack is particularly effective against web servers that do not enforce a limited number of connections per user or IP address and rely on the server's resource availability to serve requests. However, a well-configured web server can detect and mitigate such attacks.

 


HTTP Flood Attack

A HTTP flood attack is a type of Denial-of-Service (DoS) attack that aims to overwhelm a web server or web application by sending a large number of HTTP requests, thereby disrupting normal operations or rendering the service inaccessible. This is achieved by the attacker sending a large volume of HTTP requests to the target, depleting server resources such as CPU, memory, or network bandwidth.

There are various types of HTTP flood attacks, including:

  1. HTTP GET Flood: In this attack, the attacker sends a large number of HTTP GET requests to the web server. Each request requests a specific resource or URL from the server, potentially overwhelming the server as it attempts to process all requests simultaneously.

  2. HTTP POST Flood: Here, the attacker sends a large number of HTTP POST requests to the web server. Unlike GET requests, where the content is included in the URL, the POST request carries data in the HTTP body, potentially requiring the server to consume more resources to process.

  3. Slowloris Attack: In this attack, the attacker sends a series of HTTP requests to the web server but keeps the connections open by sending the HTTP headers slowly over an extended period. This consumes the limited connections on the web server, preventing legitimate users from accessing the service.

  4. HTTP Amplification: Here, the attacker manipulates HTTP requests or responses to send a large amount of data to the victim and overwhelm server resources.

HTTP flood attacks can have significant impacts on the availability of web services by slowing down or completely halting the service. To protect against such attacks, organizations often deploy firewalls, intrusion detection systems (IDS), content delivery networks (CDNs), and specialized anti-DDoS services to monitor traffic, detect suspicious activity, and maintain normal operations.

 


SYN Flood attack

A SYN Flood attack is a specific type of DDoS (Distributed Denial of Service) attack aimed at overwhelming the resources of a target computer, service, or network. The term "SYN" refers to the SYNchronization bit in TCP/IP communication, used for establishing a connection between a client and a server.

In a SYN Flood attack, the attacker sends a large number of SYN requests (Synchronization requests) to the target system but never completes the connection by sending the corresponding ACK responses (Acknowledgement) to the SYN-ACK packets (Synchronization-Acknowledgement) from the target system. The target system then waits for the final acknowledgment and reserves resources for these open connections. However, since the attacker doesn't send final acknowledgments, these connections remain open and consume resources on the target system. When enough open connections are generated, the resources of the target system are depleted, leading to a denial of service and making it inaccessible to legitimate users.

A SYN Flood attack exploits the way the TCP/IP protocol operates and is one of the most common techniques used in DDoS attacks. Countermeasures such as SYN cookies and SYN proxying can help mitigate the effects of SYN Flood attacks.

 


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