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| Section | Weight | Objectives |
|---|---|---|
| Scanning Networks | 8% | - AI-Assisted Scanning - Scanning Beyond IDS/Firewall - Network Scanning Basics - Service & OS Fingerprinting - Host & Port Discovery - Scanning Countermeasures |
| Malware Threats | 7% | - AI-Powered Malware - Malware Analysis & Countermeasures - Malware Types: Trojans, Viruses, Worms - APT & Fileless Malware |
| Footprinting and Reconnaissance | 7% | - Reconnaissance Concepts - OSINT Techniques - Reconnaissance Countermeasures - DNS, WHOIS, Network Mapping |
| Wireless Networks | 5% | - Wireless Threats & Attacks - Wireless Encryption: WEP, WPA2, WPA3 - Security Best Practices - Wireless Hacking Tools |
| Introduction to Ethical Hacking | 5% | - Information Security Concepts - Cyber Kill Chain & MITRE ATT&CK - Legal and Ethical Compliance - Ethical Hacking Methodology |
| Sniffing | 5% | - Sniffing Countermeasures - Packet Sniffing Concepts - MITM Attacks - Sniffing Tools & Techniques |
| Enumeration | 7% | - AI-Driven Enumeration - NetBIOS, SNMP, LDAP Enumeration - Enumeration Concepts - Enumeration Countermeasures - DNS, SMTP, NFS Enumeration |
| Cloud Computing | 5% | - AWS, Azure, GCP Attacks - Cloud Security Risks - Cloud Security Best Practices - Cloud Models & Services |
| Mobile Platforms | 4% | - Mobile Device Security - Android & iOS Vulnerabilities - Mobile Attack Vectors |
| Cryptography | 5% | - Cryptography in Practice - Cryptanalysis & Attacks - Encryption Concepts & Algorithms - Public Key Infrastructure |
| Session Hijacking | 4% | - Application & Network Level Hijacking - Hijacking Techniques - Countermeasures - Session Hijacking Concepts |
| Web Server & Application Attacks | 8% | - Web Security Countermeasures - API Security Risks - SQL Injection & Command Injection - Web Application Attacks: XSS, CSRF - Web Server Vulnerabilities |
| IoT & OT Security | 4% | - IoT/OT Architecture & Risks - Security Controls - Attacks on IoT & OT Systems |
| Evading IDS, Firewalls, and Honeypots | 5% | - Honeypot Concepts & Detection - Evasion Techniques - IDS, IPS, Firewall Technologies |
| Denial-of-Service | 4% | - Attack Techniques & Botnets - Defense Mechanisms - DDoS Tools - DoS & DDoS Concepts |
| Social Engineering | 6% | - Identity Theft - Countermeasures & Awareness - Social Engineering Concepts - Phishing, Pretexting, Baiting |
| Vulnerability Analysis | 8% | - Vulnerability Classification & Scoring - Vulnerability Assessment Lifecycle - Vulnerability Research & Databases - Scanning & Analysis Tools |
| System Hacking | 8% | - Privilege Escalation - Maintaining Access - Clearing Tracks & Logs - Gaining Access: Password Attacks |
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NEW QUESTION # 754
You are an ethical hacker at Northpoint Assessments, engaged to map the wireless footprint around Harborview Plaza in San Francisco, California. To enumerate nearby networks and prompt devices to reveal SSIDs and capabilities, you actively send crafted management frames from your laptop and log each AP's immediate responses (including probe responses and capability information), rather than only listening for broadcasts. Based on the described activity, which Wi-Fi discovery technique are you performing?
Answer: D
Explanation:
Actively sending management frames to prompt access points to respond goes beyond simply listening to existing broadcasts. This interactive approach, where the tester stimulates devices to reveal information, is characteristic of active footprinting.
NEW QUESTION # 755
This wireless security protocol allows 192-bit minimum-strength security protocols and cryptographic tools to protect sensitive data, such as GCMP-2S6. MMAC-SHA384, and ECDSA using a 384-bit elliptic curve.
Which is this wireless security protocol?
Answer: B
Explanation:
Enterprise, governments, and financial institutions have greater security with WPA3-Enterprise. WPA3- Enterprise builds upon WPA2 and ensures the consistent application of security protocol across the network.
WPA3-Enterprise also offers an optional mode using 192-bit minimum-strength security protocols and cryptographic tools to raised protect sensitive data:* Authenticated encryption: 256-bit Galois/Counter Mode Protocol (GCMP-256)* Key derivation and confirmation: 384-bit Hashed Message Authentication Mode (HMAC) with Secure Hash Algorithm (HMAC-SHA384)* Key establishment and authentication: Elliptic Curve Diffie-Hellman (ECDH) exchange and Elliptic Curve Digital Signature Algorithm (ECDSA) employing a 384-bit elliptic curve* Robust management frame protection: 256-bit Broadcast/Multicast Integrity Protocol Galois Message Authentication Code (BIP-GMAC-256)The 192-bit security mode offered by WPA3-Enterprise ensures the proper combination of cryptographic tools are used and sets a uniform baseline of security within a WPA3 network.
It protects sensitive data using many cryptographic algorithms It provides authenticated encryption using GCMP-256 It uses HMAC-SHA-384 to generate cryptographic keys It uses ECDSA-384 for exchanging keys
NEW QUESTION # 756
During a penetration test at Greenview Credit Union in Chicago, Illinois, ethical hacker Rebecca Hayes simulates an attacker who contacts employees using a voice channel. The number displayed on their devices appears identical to the institution's official line, convincing staff that the request is legitimate. Rebecca then asks for account credentials under the pretense of a mandatory security check. Which mobile attack vector is she demonstrating?
Answer: C
Explanation:
By manipulating the caller ID to appear as the institution's official number and soliciting sensitive information, the tester is demonstrating call spoofing, a social engineering attack using a voice channel.
NEW QUESTION # 757
which of the following information security controls creates an appealing isolated environment for hackers to prevent them from compromising critical targets while simultaneously gathering information about the hacker?
Answer: C
Explanation:
A honeypot may be a trap that an IT pro lays for a malicious hacker, hoping that they will interact with it during a way that gives useful intelligence. It's one among the oldest security measures in IT, but beware:
luring hackers onto your network, even on an isolated system, are often a dangerous game.
honeypot may be a good starting place: "A honeypot may be a computer or computing system intended to mimic likely targets of cyberattacks." Often a honeypot are going to be deliberately configured with known vulnerabilities in situation to form a more tempting or obvious target for attackers. A honeypot won't contain production data or participate in legitimate traffic on your network - that's how you'll tell anything happening within it's a results of an attack. If someone's stopping by, they're up to no good.
That definition covers a various array of systems, from bare-bones virtual machines that only offer a couple of vulnerable systems to ornately constructed fake networks spanning multiple servers. and therefore the goals of these who build honeypots can vary widely also , starting from defense thorough to academic research.
additionally , there's now an entire marketing category of deception technology that, while not meeting the strict definition of a honeypot, is certainly within the same family. But we'll get thereto during a moment.
honeypots aim to permit close analysis of how hackers do their dirty work. The team controlling the honeypot can watch the techniques hackers use to infiltrate systems, escalate privileges, and otherwise run amok through target networks. These sorts of honeypots are found out by security companies, academics, and government agencies looking to look at the threat landscape. Their creators could also be curious about learning what kind of attacks are out there, getting details on how specific sorts of attacks work, or maybe trying to lure a specific hackers within the hopes of tracing the attack back to its source. These systems are often inbuilt fully isolated lab environments, which ensures that any breaches don't end in non-honeypot machines falling prey to attacks.
Production honeypots, on the opposite hand, are usually deployed in proximity to some organization's production infrastructure, though measures are taken to isolate it the maximum amount as possible. These honeypots often serve both as bait to distract hackers who could also be trying to interrupt into that organization's network, keeping them faraway from valuable data or services; they will also function a canary within the coalpit , indicating that attacks are underway and are a minimum of partially succeeding.
NEW QUESTION # 758
At Horizon Legal Services in Boston, Massachusetts, ethical hacker Daniel Price is tasked with assessing the security of the firm's mobile case-tracking app. During testing, he finds that confidential case notes and client records are kept locally on the device without encryption. By browsing the file system with a standard explorer tool, he can open sensitive information without any authentication. Which OWASP Top 10 Mobile Risk is most clearly present in the app?
Answer: A
Explanation:
The correct answer is C. Insecure Data Storage because the vulnerability described is the storage of sensitive information locally on the mobile device in a manner that is not encrypted and is accessible by simply browsing the file system. In mobile application security, this is a classic risk category: when an app stores confidential data (case notes, client records, tokens, documents, cached responses, databases, logs, or exported files) in clear text or in insecure locations, an attacker who gains device access-or uses backup extraction, file explorers, rooted/jailbroken access, or malware with storage permissions-may retrieve that data without needing to authenticate to the application.
The scenario makes the weakness unmistakable: Daniel can use a "standard explorer tool" to open sensitive records "without any authentication." This indicates the app is failing to apply appropriate protections such as encryption at rest, secure key handling, proper file permissions, and secure storage mechanisms. In secure mobile design, sensitive records should be encrypted using platform-supported protections (e.g., using OS keystores/keychains for keys, encrypting databases/files, and minimizing local retention). Additionally, apps should avoid storing highly sensitive regulated data unless essential, and should implement secure session controls and data lifecycle management (cache control, expiration, remote wipe support in enterprise settings).
Why the other options are not the best fit: Insecure communication concerns data exposure while transmitted over networks (e.g., lack of TLS, weak TLS, MITM susceptibility), whereas the issue here is purely local storage. Improper credential usage relates to mishandling passwords, tokens, or authentication secrets (hard- coded credentials, weak storage of credentials), but the prompt focuses on stored records themselves.
Inadequate privacy controls is broader and typically involves over-collection, improper disclosure, or weak user privacy settings, not direct clear-text storage exposure.
Therefore, the most clearly present OWASP Top 10 Mobile Risk is Insecure Data Storage.
NEW QUESTION # 759
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