OSI Layer Attacks: 38 Network Attacks By Layer and How to Mitigate

What Common Attacks Target Different OSI Layers? 

Attacks on the OSI network model can occur at any of its seven layers. Here are examples of attacks that target each layer:

Physical Layer (Layer 1)

• Hardware tampering/destruction: Physical access is used to damage network components like cables or devices, or to insert rogue devices like keyloggers. 
• Signal interception/sniffing: Using sophisticated equipment to intercept signals or putting a network interface card (NIC) into promiscuous mode to capture all data on a segment.

Data Link Layer (Layer 2)

• MAC address spoofing: An attacker impersonates a legitimate device by falsifying its MAC address to gain access or redirect traffic. 
• ARP spoofing: An attacker sends false ARP messages to link their MAC address with the IP address of a legitimate device, redirecting traffic to the attacker’s machine. 
• VLAN hopping: Exploiting vulnerabilities in Virtual LAN configurations to gain unauthorized access to network segments.

Network Layer (Layer 3)

• IP spoofing: Faking the source IP address to masquerade as a trusted device.
• Route manipulation: Altering routing tables to redirect, blackhole, or intercept traffic.
• Adversary-in-the-middle (AiTM): Intercepting or modifying traffic between communicating parties.

Transport Layer (Layer 4) 

• TCP SYN flooding: Exhausting server resources by sending incomplete TCP connection requests.
• DDoS patterns: Coordinated traffic floods from multiple sources to overwhelm a target.

Session Layer (Layer 5)

• Authentication token manipulation: Forging or altering tokens to gain unauthorized session access.
• Exploiting session persistence: Abusing load balancer or session management logic to hijack sessions.

Presentation Layer (Layer 6)

• SSL/TLS interception: Decrypting secure traffic using rogue certificates or proxies.
• Downgrade attacks: Forcing use of weak encryption by exploiting protocol negotiation.
• Code injection: Embedding executable code in data processed at the presentation layer.

Application Layer (Layer 7) 

• Cross-site scripting (XSS): Injecting malicious scripts into web pages viewed by users.
• SQL injection: Inserting malicious SQL commands into database queries through user input.

Below we cover these and more OSI layer attacks in more detail.

This is part of a series of articles about OSI layers.

Physical Layer Attacks (Layer 1) 

1. Hardware Tampering 

Hardware tampering involves unauthorized manipulation of networking equipment such as switches, routers, or network interface cards. Attackers may install rogue devices, alter configurations, or physically compromise systems to gain persistent access or cause denial of service. Physical access to infrastructure often renders upper-level security mechanisms ineffective, as malicious actors can bypass logical controls entirely. 

Tampering cases may not leave digital traces, making detection and attribution more difficult compared to higher-layer attacks.

2. Signal Interception

Signal interception is another threat at the physical layer, where attackers capture raw data as it travels through cables or wireless signals. Using specialized tools, they can intercept electrical, optical, or radio frequency signals, exposing unencrypted data or sensitive authentication credentials. This type of interception doesn’t require logical network access, only proximity to communication hardware or transmission channels. 

Defensive strategies focus on physical access barriers, equipment lockdowns, and the use of shielded or armored cabling to limit opportunities for tampering and eavesdropping.

3. Electromagnetic Attacks

Electromagnetic attacks exploit the unintended emissions of electronic devices. These emissions can leak sensitive information from equipment, such as cryptographic keys, passwords, or document content, through side-channel analysis. Attackers gather electromagnetic signals emitted by network hardware, computers, or monitors, and use specialized algorithms to reconstruct the intercepted data. 

Mitigating such risks involves electromagnetic shielding and avoiding placement of critical network infrastructure near public or untrusted spaces.

4. Radio Frequency Attacks

Radio frequency (RF) attacks target wireless networking technologies, commonly used for Wi-Fi, Bluetooth, or other RF-based communications. Attackers may capture, inject, or jam RF signals to intercept, disrupt, or impersonate legitimate wireless traffic. RF jamming can bring down an entire wireless network, while sophisticated attackers can perform man-in-the-middle attacks with rogue base stations. 

Defenses include RF spectrum monitoring, secure wireless authentication, and environmental controls to minimize the attack surface.

5. Cable Tapping 

Cable tapping involves physical connection to network cabling to eavesdrop on or record data exchanges. Attackers insert tap devices or splitters into copper or fiber optic lines, often with minimal impact on network operations. Fiber taps can be especially difficult to detect since they do not noticeably interrupt light transmission. 

Regular network audits, use of tamper-evident cabling, and deploying encrypted data transmission are necessary to counter cable tapping risks.

6. Cable Jamming 

Jamming degrades network performance by introducing interference into communication lines, overwhelming legitimate signals to render devices unusable. At the physical layer, signal jamming can originate from deliberate attacks or environmental sources. The damage is typically short-lived but highly disruptive, leading to loss of data and connectivity until the interference ceases. 

Defenses involve electromagnetic shielding, redundant cabling paths, and real-time monitoring for signal anomalies and rapid response to physical disturbances.

Data Link Layer Attacks (Layer 2) 

7. MAC Address Spoofing

MAC spoofing is a technique where attackers disguise their device’s media access control (MAC) address to impersonate another network device. Since network switches use MAC addresses to forward traffic, this enables attackers to hijack sessions, gain unauthorized access, or intercept traffic intended for other devices. MAC spoofing is especially damaging in environments where network policies rely on MAC-based authentication or access controls. 

Countermeasures include port security, device authentication, and network access controls based on certificates or 802.1X standards.

8. MAC Flooding

MAC flooding exploits switch behavior by oversaturating it with numerous bogus MAC addresses, forcing the switch to revert to broadcast mode. In this state, sensitive traffic intended for a specific recipient is delivered to all devices on the network segment, making it easy for attackers to capture data packets. 

Network administrators can prevent MAC flooding by configuring port security, limiting the number of MAC addresses allowed per port, and implementing network segmentation to contain the broadcast domain.

9. ARP Poisoning 

ARP poisoning (or ARP spoofing) targets the address resolution protocol, which maps IP addresses to MAC addresses on a local network. Attackers send fake ARP messages, tricking devices into associating the attacker’s MAC address with a valid IP address. This technique enables man-in-the-middle attacks, session hijacking, or denial of service. 

Defenses against ARP poisoning include static ARP entries for critical systems, dynamic ARP inspection features on switches, and routine network traffic monitoring for anomalies.

10. VLAN Hopping

VLAN hopping allows attackers to inject packets into a virtual LAN (VLAN) segment to which they should not have access, bypassing logical network segmentation. This is achieved through switch misconfigurations, double tagging, or exploiting native VLAN weaknesses. Once inside an unauthorized VLAN, attackers may access restricted systems or intercept sensitive communications. 

Preventive steps include disabling unused switch ports, strict VLAN configuration, and removing the default VLAN assignment from all ports.

11. Rogue Access Points 

Rogue access points are unauthorized wireless devices connected to a wired network, providing an attacker-controlled entry point. These devices may go unnoticed in large deployments, allowing adversaries to eavesdrop, launch attacks, or bypass existing security controls. 

Automated discovery and authentication of all network-connected devices, as well as regular wireless network audits, are vital for detecting and eliminating rogue access points. Employing wireless intrusion detection and specifying allowable MAC addresses in access point configurations also reduces risk.

12. Wireless Jamming

Wireless jamming disrupts communication by overwhelming Wi-Fi frequencies with noise or interference, preventing legitimate devices from establishing or maintaining connections. Targeted jamming can selectively deny service to specific critical assets or users, while broad-spectrum attacks affect entire network segments. 

Organizations should employ spectrum analysis tools, physically secure wireless infrastructure, and deploy frequency-hopping or spread-spectrum technologies to minimize the impact of intentional jamming attacks.

Learn more in our detailed guide to OSI layer 2 (coming soon)

Network Layer Attacks (Layer 3) 

13. IP Spoofing

IP spoofing involves forging the source IP address in network packets to impersonate legitimate users or devices. This enables attackers to bypass IP-based authentication, evade security monitoring, or redirect traffic through malicious hosts. IP spoofing is foundational to many advanced threats, including distributed denial-of-service (DDoS) attacks and session hijacking. 

Defensive measures include strict ingress and egress filtering, network address validation, and use of monitoring tools that detect anomalies in IP usage.

14. Route Manipulation

Route manipulation attacks exploit dynamic routing protocols (such as OSPF, BGP, or RIP) to alter legitimate network paths. Attackers may inject false route announcements, causing traffic to be diverted, blackholed, or monitored. Such attacks can result in massive data interception or denial of service at scale. 

Protecting against route manipulation requires secure routing protocol configurations, authentication between neighboring routers, and aggressive route validation with monitoring for suspicious changes in network topology.

16. ICMP Redirect 

ICMP redirect attacks leverage the internet control message protocol to steer traffic away from its original destination. Malicious ICMP redirect messages instruct hosts to reroute packets through attacker-controlled gateways, enabling traffic interception or eavesdropping. Since many systems trust ICMP redirects by default, attackers can quickly manipulate network paths. 

Disabling unnecessary ICMP message handling and configuring host firewalls to reject redirects are essential countermeasures.

17. DNS Poisoning

DNS poisoning (also known as DNS cache poisoning) corrupts the mappings between domain names and IP addresses, redirecting users to malicious destinations. Attackers inject false DNS responses into the target’s resolver cache, enabling phishing or malware distribution. Successful DNS poisoning can compromise an entire organization’s internet traffic. 

Countermeasures include DNSSEC (domain name system security extensions) for cryptographic validation, using trusted recursive resolvers, and monitoring for abnormal DNS response patterns.

18. Adversary-in-the-Middle Techniques

Adversary-in-the-middle (AiTM), commonly referred to as man-in-the-middle (MitM), attacks involve intercepting or altering communications between network endpoints. By positioning themselves between sender and receiver, attackers can eavesdrop, modify data, or inject malicious content without detection. Common methods include ARP spoofing, DNS hijacking, or exploiting rogue wireless access points, often in combination with other layer-specific attacks to achieve persistence and data theft.

Defenses against AiTM attacks span several layers but are particularly important at the network layer. Strategies include implementing mutual authentication, strong encryption for all network traffic, and the use of secure protocols (like HTTPS, SSH, and VPN tunneling). 

Learn more in our detailed guide to OSI layer 3 (coming soon)

Transport Layer Attacks (Layer 4) 

19. TCP SYN Flooding 

TCP SYN flooding is a denial-of-service attack exploiting the handshake process that initiates a TCP connection. Attackers send a large number of SYN requests without completing the handshake, causing the target server to allocate resources for half-open connections and eventually exhaust connectivity. This disrupts legitimate access and can take down public-facing applications or services. 

SYN flood defense includes rate limiting, SYN cookies, and deploying network devices with TCP handshake monitoring.

20. DDoS Patterns

Distributed denial-of-service (DDoS) attacks extend these techniques by using multiple systems across the internet to launch synchronized attacks, targeting bandwidth, processing power, or application resources. Sophisticated attackers vary the type of packets and connection attempts, making detection more challenging. 

Organizations must employ layered defenses, including upstream filtering, cloud-based DDoS protection services, and advanced anomaly detection to combat modern DDoS patterns.

21. Port Scanning 

Port scanning is a reconnaissance activity where attackers probe network hosts for open or vulnerable ports. By cataloging exposed services, attackers prioritize targets for exploitation or deliver tailored payloads. 

Defensive strategies focus on minimizing the attack surface: only necessary ports should remain open, and hosts must implement endpoint firewalls and intrusion prevention systems to limit scan visibility and respond to suspicious activity.

22. Session Hijacking

Session hijacking at the transport layer involves stealing or manipulating session tokens or parameters to gain unauthorized access to an ongoing connection. Attackers may capture session identifiers by sniffing unencrypted traffic or exploiting weak protocol implementations. Once obtained, the attacker can impersonate a legitimate user or disrupt the session. 

Employing encrypted protocols, randomizing session identifiers, and resetting sessions on anomaly detection are effective defenses against such attacks.

23. Buffer Overflow in Transport Protocols

Buffer overflow attacks against transport protocols target the insufficient handling of data within protocol handlers or services that operate at this layer. By sending oversized or malformed packets, attackers can overwrite memory, disrupt network services, or execute arbitrary code on the target system. Legacy protocol implementations are particularly at risk if they lack proper bounds checking or input validation. 

Keeping all software updated and patched is a primary line of defense against these vulnerabilities. Regular code audits, fuzzing for protocol handlers, and the use of memory-safe programming languages further harden network services against buffer overflow attacks.

Learn more in our detailed guide to OSI layer 4 (coming soon)

Session Layer Attacks (Layer 5) 

24. Session Hijacking 

Session hijacking at the session layer involves taking over a legitimate communication session between two endpoints. Attackers exploit weak authentication or session management mechanisms to steal session identifiers, allowing them to impersonate users or disrupt ongoing exchanges. Techniques include capturing session cookies, exploiting protocol weaknesses, or predicting identifier values. 

Enforcing strong session validation and implementing secure cookie attributes are critical defensive steps.

25. Replay Attacks

Replay attacks occur when attackers capture and resend valid session messages to trick a target into performing unauthorized actions. This is especially potent in protocols lacking proper message timestamping or sequence validation. 

Countermeasures include implementing nonces (unique message tokens), using timestamping, and enforcing strict session timeouts and re-authentication on sensitive operations to prevent attackers from successfully replaying valid exchanges.

26. Authentication Token Manipulation

Authentication tokens are integral to managing session identities and access rights. Attackers may forge, steal, or modify tokens to escalate privileges or bypass security controls. This can result from predictable token values, flaws in signature verification, or insecure transmission of token data over public networks. 

To defend against token manipulation, organizations should use cryptographically strong, random tokens, implement token integrity checks, and employ token expiration policies.

27. Exploiting Session Persistence

Session persistence (or sticky sessions) ensures that ongoing connections from a user are consistently handled by the same back-end server. While critical for maintaining state in distributed applications, improper session persistence mechanisms can lead to predictability and exploitation. Attackers may analyze load balancer algorithms or session identifiers to force sessions onto compromised resources or bypass security controls. 

Randomizing session allocation and actively monitoring back-end server assignments can mitigate these risks. Implementing short session timeouts, mandatory re-authentication on sensitive actions, and active session tracking across infrastructure are essential to close gaps caused by weak or abused session persistence.

Learn more in our detailed guide to OSI layer 5 (coming soon)

Presentation Layer Attacks (Layer 6)

28. SSL/TLS Interception 

SSL/TLS interception attacks attempt to break the confidentiality of encrypted connections by inserting malicious actors between endpoints. Attackers may use rogue certificates, compromise trusted certificate authorities, or manipulate client configurations to decrypt communications. This can expose sensitive data and session information. 

Enforcing the use of pinned, verified certificates and monitoring for anomalies in certificate chains are required defenses against SSL/TLS interception.

29. Downgrade Attacks

Downgrade attacks force users and services to negotiate a lower, less secure encryption protocol than originally intended. Attackers exploit compatibility fallbacks or protocol negotiation flaws to weaken encryption and make eavesdropping or tampering easier. 

Preventing downgrade attacks requires strict client and server-side enforcement of modern protocols (like TLS 1.2 and above), deprecation of obsolete cipher suites, and regular vulnerability assessments of all cryptographic endpoints in the network.

30. Code Injection 

Code injection at the presentation layer targets systems that inadequately validate or parse data from end users or partner systems. Attackers may embed malicious code into payloads that are later executed within downstream services, potentially leading to remote code execution or unauthorized data manipulation. Typical vectors include document viewers, data transformation utilities, or file parsing libraries operating at this layer. 

Hardened input sanitization and sandboxed processing environments help defend against code injection threats.

31. Data Serialization Flaws

Data serialization flaws occur when applications improperly serialize or deserialize structured data, allowing attackers to inject crafted objects that trigger harmful behaviors or bypass access controls. Serialization vulnerabilities are particularly dangerous in distributed or microservice architectures where inter-service communication relies heavily on standardized object encoding. 

Safe serialization libraries, integrity checks, and limiting accepted data types are essential to address serialization risks in the presentation layer.

32. Exploiting Weak or Outdated Encryption Standards

Attackers exploit weak or outdated encryption standards to bypass confidentiality controls, recover plaintext data, or manipulate secure sessions. Common examples include the use of deprecated SSL protocols, export-grade ciphers, or algorithms with known mathematical weaknesses. Adversaries use readily available tools to crack outdated encryption, extract secrets, or impersonate users in transit. 

Ensuring all systems use contemporary, vetted cryptographic algorithms is foundational to infrastructure security. Automated vulnerability scans should routinely identify the presence of legacy ciphers or protocol versions and report risks for immediate remediation. 

Learn more in our detailed guide to OSI layer 6 (coming soon)

Application Layer Attacks (Layer 7) 

33. Cross-Site Scripting (XSS) 

Cross-site scripting (XSS) is a widespread vulnerability where attackers inject malicious scripts into web applications. These scripts execute in the browser of unsuspecting users, allowing attackers to steal cookies, hijack sessions, or deface web content. XSS exploits the lack of proper input sanitization and output encoding on user-supplied fields. 

Comprehensive code reviews, automated scans, and the implementation of web application firewalls are key to mitigating XSS risks.

34. SQL Injection

SQL injection targets back-end databases by injecting crafted SQL commands through unsanitized inputs. Attackers gain unauthorized access to, modify, or delete database records, often resulting in significant data breaches. 

Secure coding practices, the use of parameterized queries, and routine dynamic testing of application interfaces are essential to prevent SQL injection vulnerabilities and protect sensitive data.

35. Phishing

Phishing attacks use social engineering to trick users into revealing sensitive information such as usernames, passwords, or payment details. Attackers deploy fraudulent websites, emails, or communication channels that closely mimic legitimate organizations or services. The effectiveness of phishing stems from psychological manipulation and a lack of user awareness. 

Regular user training, email filtering solutions, and domain monitoring reduce susceptibility to phishing campaigns.

36. Credential Theft

Credential theft can involve techniques beyond phishing, such as keylogging, credential stuffing, and exploiting poor password management. Compromised credentials are frequently used for lateral movement in networks or for reselling on dark markets. 

Multi-factor authentication, strong password policies, credential vaults, and monitoring for credential leaks are necessary for limiting the impact of credential theft at the application layer.

37. API Abuse 

API abuse targets poorly secured application programming interfaces that expose business logic or sensitive data. Attackers may bypass authentication, enumerate endpoints, or manipulate API requests to alter data, disrupt operations, or escalate privileges. 

Security defenses include strict API gateway controls, robust endpoint authentication, and routine vulnerability assessment of public and internal APIs. Usage monitoring and rate limiting further reduce exposure to large-scale automated exploitation.

38. Zero-Click Exploits

Zero-click exploits leverage vulnerabilities within applications that require no user interaction; attackers compromise systems by simply sending crafted traffic to vulnerable endpoints, such as messaging apps or image rendering libraries. These attacks are valuable for their stealth and rapid spread. 

Maintaining up-to-date software, employing sandboxing for risky functionality, and promptly deploying security patches are essential for defending against zero-click threats.

Learn more in our detailed guide to OSI layer 7 (coming soon)

Best Practices for Mitigating OSI Layer Attacks

Here are some of the ways that organizations can protect themselves from attacks at various OSI layers.

1. Implement Strong Access Control and Identity Management

Strong access control and identity management are foundational elements for securing each OSI layer. Granular controls limit network, system, and data access based on user roles, device type, and contextual metadata. Centralized identity and access management (IAM) platforms enforce policies such as least privilege, multi-factor authentication, and just-in-time access provisioning. Regularly auditing permissions and promptly revoking unnecessary access further strengthens these defenses. 

Identity federation and Single Sign-On (SSO) reduce password fatigue but require careful security configuration. Employing robust authentication protocols (like SAML or OAuth), enforcing strong password complexity, and maintaining up-to-date credential stores significantly decrease opportunities for attack across all layers. 

2. Encrypt Data At Rest and In Transit

Encryption remains a key defense against data theft or exposure due to OSI layer attacks. Encrypting data at rest prevents unauthorized access to stored information, while encrypting data in transit ensures confidentiality and integrity as data moves across networks. Full disk encryption, email encryption, and strong SSL/TLS configurations in transport layers are critical elements of a comprehensive encryption strategy. 

Effective encryption policies require robust key management, including secure key storage, rotation procedures, and access controls to guard against insider threats. Regular audits should verify the use of current cryptographic standards, the deactivation of vulnerable algorithms, and compliance with regulatory frameworks regarding sensitive data protection.

3. Network Segmentation and Microsegmentation

Network segmentation divides the infrastructure into distinct zones or segments, limiting the spread of attacks and isolating sensitive resources. By assigning different security controls and monitoring levels to each segment, organizations restrict lateral movement and reduce the attack surface. Traditional segmentation uses VLANs, firewalls, and dedicated subnets to enforce boundaries between user groups, servers, and critical assets. 

Microsegmentation applies these principles at a granular, often workload or device level, using software-defined networking or agent-based controls. It enables dynamic, context-aware isolation, preventing attacker access even after initial compromise. Microsegmentation requires continuous monitoring and adaptive policy enforcement to address evolving threats and ensure compliance with segmentation rules.

4. Go Beyond Prevention: Use AI-Driven Threat Detection and Automation

Traditional prevention-based defenses are no longer sufficient against modern, multi-stage attacks that exploit weaknesses across multiple OSI layers. AI-driven threat detection platforms analyze signals from all layers—from physical to application—to correlate seemingly unrelated events. For example, a MAC spoofing event (Layer 2) followed by anomalous API access (Layer 7) might indicate an adversary-in-the-middle attack that would be missed if each alert was evaluated in isolation.

Behavioral analytics, such as user and entity behavior analytics (UEBA), adds another layer of intelligence by profiling normal activity and flagging deviations that may signal compromise. Rather than relying solely on signatures or rule-based alerts, AI models learn patterns over time, enabling early detection of insider threats, credential misuse, and lateral movement that evade traditional defenses. UEBA is particularly useful in detecting misuse of legitimate credentials and low-and-slow attacks.

Automation helps scale detection and response by triggering playbooks that investigate, contain, and remediate threats without manual intervention. AI platforms can enrich alerts with contextual data, prioritize incidents based on risk, and even initiate workflows like isolating endpoints or disabling compromised accounts. This not only reduces mean time to respond (MTTR), but also alleviates alert fatigue and allows security teams to focus on strategic initiatives.

5. Empower Your Team with Proactive Threat Hunting

AI-driven platforms enable proactive threat hunting by providing unified visibility across all OSI layers, including physical access logs, network telemetry, endpoint events, and application activity, within a single search and analysis interface. Analysts can pivot across data sources, create custom detection logic, and investigate historical patterns to uncover stealthy threats that bypass conventional defenses.

With advanced query capabilities and pre-built analytics, security teams can proactively search for known attack indicators, unusual access paths, or anomalous protocol usage across segmented networks. AI-assisted hunting reduces reliance on manual investigation, accelerates hypothesis testing, and helps uncover root causes before attackers achieve their objectives.

Preventing OSI Layer Attacks with Exabeam

Exabeam’s security operations platform, particularly through Exabeam Nova, strengthens network security by addressing threats and implementing mitigations across all seven layers of the OSI model. Exabeam Nova, a coordinated system of AI agents, is embedded in the New-Scale Security Operations Platform and supports detection, investigation, and response workflows. It leverages behavioral analytics and automation to detect anomalous activities at each layer, enabling security teams to respond with speed and confidence.

Here’s how Exabeam can protect against attacks on the OSI layers:

• Physical Layer (Layer 1): While directly managing physical security is outside the scope of a software platform, Exabeam’s ability to “Perceive” by building behavioral baselines helps detect subtle deviations. This means if a physical compromise leads to unusual network behavior, Exabeam can flag it. Monitoring physical access control systems and asset management is crucial, and Exabeam would correlate any resulting network anomalies.
• Data Link Layer (Layer 2): Exabeam’s platform can detect threats like MAC spoofing, ARP poisoning, and VLAN hopping by analyzing network flow information and system logs. Its “Perceive” capability would establish baselines for normal Layer 2 operations and pinpoint deviations such as unexpected MAC address changes or unusual ARP traffic, indicating a potential compromise.
• Network Layer (Layer 3): Exabeam helps identify IP spoofing, routing attacks, and Denial of Service (DoS)/Distributed Denial of Service (DDoS) attempts. By analyzing logical addresses, routing table updates, and packet forwarding events, Exabeam Nova can “Reason” through correlations of suspicious activities, like uncharacteristic routing updates or DDoS traffic surges, to understand the potential ramifications of an attack.
• Transport Layer (Layer 4): The platform safeguards against SYN floods, port scanning, and session hijacking by monitoring connection states, segment flow, and port activity. Exabeam’s behavioral modeling can detect intricate Layer 4 attacks that bypass traditional defenses, such as unusual connection attempts or anomalies in port usage, then “Act” to automate evidence collection and triage.
• Session Layer (Layer 5): Exabeam assists in combating session hijacking, session fixation, and unauthorized session resumption. By gathering and analyzing session establishment logs, synchronization points, and dialogue control mechanisms, the platform can “Perceive” and “Reason” about suspicious events like uncharacteristic session hijacking attempts or anomalies in session recovery processes.
• Presentation Layer (Layer 6): Exabeam contributes to securing this layer by analyzing data transformation logs, encrypted communication streams, and application payload information. It helps detect unusual encryption method changes or data encoding exploits by establishing baselines for typical Layer 6 operations and flagging deviations.
• Application Layer (Layer 7): Exabeam’s platform is particularly effective here, protecting against injection attacks, API abuse, and malware payloads. By monitoring application interactions, user activities, and protocol exchanges, Exabeam Nova’s “Advise” agent can provide daily posture insights, mapping detections to frameworks like MITRE ATT&CK and recommending improvements, while “Acting” to automate evidence collection and case creation for malicious Layer 7 actions.

Exabeam Nova’s core functions—Perceive, Reason, Act, and Advise—are applied across these layers to continuously monitor systems, detect subtle deviations, correlate events into threat timelines, automate response actions, and provide insights for improving security posture. This integrated, AI-driven approach enables faster investigations, higher analyst productivity, and a stronger security program visibility.