{"id":4000,"date":"2025-07-17T16:35:45","date_gmt":"2025-07-17T16:35:45","guid":{"rendered":"https:\/\/cybersecurityinfocus.com\/?p=4000"},"modified":"2025-07-17T16:35:45","modified_gmt":"2025-07-17T16:35:45","slug":"mapping-social-engineering-tactics-to-detection-strategies-in-xdr","status":"publish","type":"post","link":"https:\/\/cybersecurityinfocus.com\/?p=4000","title":{"rendered":"Mapping Social Engineering Tactics to Detection Strategies in XDR"},"content":{"rendered":"
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Social engineering isn\u2019t just a trick of trade anymo<\/span>re, it is t<\/span>rade. Threat actors aren\u2019t only targeting systems; they\u2019re targeting people. And because humans are often the weakest link in cybersecurity, attackers use psychological manipulation to deceive users into giving up credentials, clicking malicious links, or downloading malware. The challenge? These attacks don\u2019t always leave behind obvious traces.<\/span>\u00a0<\/span><\/p>\n

This is where Extended Detection and Response (XDR)<\/a> becomes essential.<\/span>\u00a0<\/span><\/p>\n

By mapping social engineering tactics to detection techniques, organizations can identify human-centric threats faster and more effectively. In this blog, we\u2019ll explore the common tactics used in social engineering attacks and how advanced XDR platforms like Fidelis Elevate can help detect, map, and stop them.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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What Is Social Engineering?<\/h2>\n<\/div>\n<\/div>\n
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Social engineering<\/span><\/span><\/a> involves manipulating individuals into taking actions that compromise security. Unlike brute-force or software-based threats, these attacks rely on deception, trust exploitation, and behavioral targeting.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Common Social Engineering Tactics:<\/h3>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tPhishing \u2013 Deceptive emails that appear legitimate to steal credentials.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tVishing \u2013 Voice phishing using phone calls to impersonate authority figures.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tBaiting \u2013 Luring victims with free downloads or physical media (like infected USBs).<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tTailgating \u2013 Gaining physical access by following someone into a secure area.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tImpersonation attacks \u2013 Pretending to be IT support, a manager, or another trusted person.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tInsider threat social engineering \u2013 Coercing or recruiting internal employees to assist in an attack.<\/span><\/p><\/div>\n<\/div>\n

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These tactics are difficult to spot because they mimic normal user behavior. And that\u2019s exactly why traditional security tools often miss them.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Why XDR Is Key to Social Engineering Detection<\/h2>\n<\/div>\n<\/div>\n
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Detecting social engineering attacks with XDR<\/a><\/span> means<\/a> <\/span>leveraging<\/span> multiple data points\u2014endpoint, network, cloud, and behavioral\u2014to understand the full picture. Unlike standalone tools, <\/span>XDR<\/span> provides context-rich visibility and co<\/span><\/span>rrelation across layers.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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How XDR Helps:<\/h3>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tTracks anomalies in user behavior using behavioral detection in XDR. <\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDetects lateral movement<\/a> that may follow a successful phishing attempt.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tMonitors cloud application misuse or unusual SaaS activity.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tCorrelates emails, endpoint actions, and network data for early detection<\/a>.<\/span><\/p><\/div>\n<\/div>\n

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Fidelis XDR<\/a> takes this a step further. It maps adversarial behavior against social engineering techniques, helping SOC teams understand the tactics, techniques, and procedures (TTPs) in play\u2014and respond with precision.<\/span>\u00a0<\/span><\/p>\n

Fidelis Elevate\u00ae uses deep session inspection<\/a>, deception technology, and contextual threat intelligence to surface insider threats, detect psychological manipulation attempts, and expose complex attack chains\u2014making it a<\/span> powerful tool for social engineering detection.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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What XDR Really Means:
\nCut through the hype and understand what defines a true XDR platform. <\/div>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDistinguish real vs. \u201cfake\u201d XDR<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tUnderstand architecture & use cases<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tMake informed buying decisions<\/span><\/p><\/div>\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\tDownload Now<\/span>
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\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Mapping Social Engineering Tactics to XDR Detection Techniques<\/h2>\n<\/div>\n<\/div>\n
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Let\u2019s<\/span> break down how specific social engineering methods m<\/span><\/span>ap to <\/span>XDR detection strategies<\/a><\/span>:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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1. Phishing Attacks:<\/h3>\n<\/div>\n<\/div>\n
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Phishing attacks<\/span> are among the most widespread social engineering tactics today. An attacker sends an email that appears legitimate, tricking the user into <\/span>clicking<\/span> a malicious link or downloading an attachment. XDR can help detect phishing<\/a> by inspecting email headers, scanning attachments for hidden payloads, and <\/span>monitoring for<\/span> suspicious link redirects. It also correlates this activity with user behavior\u2014such as login <\/span>attempts<\/span> from new geolocations or abnormal endpoint access\u2014triggering alerts before damage is done.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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2. Vishing:<\/h3>\n<\/div>\n<\/div>\n
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Vishing<\/span>,<\/span><\/span> or voice phishing, involves fraudulent phone calls where attackers impersonate trusted figures like IT support or HR. While these attacks may seem hard to detect, XDR systems can flag suspicious outcomes from such calls. For example, if a user changes credentials <\/span>immediately<\/span> after a call or accesses restricted areas, XDR connects these behavioral anomalies and raises alerts. VoIP metadata and call pattern analysis<\/a> further support detection efforts.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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3. Impersonation attacks:<\/h3>\n<\/div>\n<\/div>\n
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Impersonation attacks<\/span> <\/span>rely on threat actors pretending to be someone the victim knows\u2014like a CEO or vendor\u2014often through email or messaging apps. These attacks <\/span>frequently<\/span> lead to actions like wire transfers or credential sharing. XDR <\/span>identifies<\/span> this form of manipulation by analyzing sender domains, <\/span>identifying<\/span> mismatches in communication styles, and tracking post-message activity on endpoints and financial systems. Unusual access to administrative controls or sudden fund movements are key red flags.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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4. Baiting:<\/h3>\n<\/div>\n<\/div>\n
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Baiting<\/span> <\/span>works by offering something enticing\u2014like a free download or a misplaced USB drive\u2014to trick users into interacting with malicious content. XDR detects baiting attempts by <\/span>monitoring for<\/span> the insertion of unknown external devices, sudden file executions from USBs, or downloads from shady websites. Once executed, XDR maps the chain of actions <\/span>initiated<\/span> by the payload, helping SOC teams<\/a> <\/span>contain<\/span> the threat.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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5. Insider threat social engineering:<\/h3>\n<\/div>\n<\/div>\n
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Insider threat social engineering is one of the most dangerous and difficult to detect. This can happen when employees are manipulated, coerced, or willingly cooperate with attackers. XDR\u2019s behavioral monitoring <\/span><\/span>is<\/span> critical here. It builds user activity baselines and flags deviations such as accessing sensitive data outside normal work hours, exfiltrating files to external drives, or repeatedly <\/span>attempting<\/span> unauthorized actions. When combined with deception decoys<\/a> placed within the environment, XDR can even bait the insider into exposing themselves.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Fidelis Elevate<\/span> combines <\/span>deep behavioral profiling<\/span> with session data inspection to spot deviations in user behavior\u2014even when attackers try to mimic legitimate workf<\/span><\/span>lows.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Behavioral Detection: The Secret Sauce in Social Engineering Prevention<\/h2>\n<\/div>\n<\/div>\n
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Social engineering attacks are best <\/span>identified<\/span> by behavior\u2014especially subtle shifts.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Indicators of Social Engineering in Behavior:<\/h3>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tUnusual file access patterns.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tSudden spikes in data transfer.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tLogging into sensitive systems outside business hours.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tRepeated access requests to unauthorized resources.<\/span><\/p><\/div>\n<\/div>\n

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Behavioral detection in XDR establishes baselines for each user and flags anomalies in real-time. This is especially useful for insider threat social engineering, where users are either tricked or malicious.<\/span>\u00a0<\/span><\/p>\n

Fidelis XDR utilizes machine learning and contextual analytics to refine these behavioral models. It learns from every interaction\u2014making it smarter ov<\/span>er time.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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XDR Use Cases for Social Engineering: Real-World Applications<\/h2>\n<\/div>\n<\/div>\n
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Use Case 1: Credential Phishing<\/h3>\n<\/div>\n<\/div>\n
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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tThreat: Employee receives an email that looks like a Microsoft 365 login prompt.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDetection: Fidelis XDR detects the redirection to a phishing domain and identifies credential submission behavior. Response initiated.<\/span><\/p><\/div>\n<\/div>\n

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Use Case 2: Malicious Insider<\/h3>\n<\/div>\n<\/div>\n
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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tThreat: A disgruntled employee is leaking sensitive documents to competitors.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDetection: Behavioral deviations in access and usage patterns trigger alerts. Deception<\/a> sensors detect data access from honeypots.<\/span><\/p><\/div>\n<\/div>\n

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Use Case 3: CEO Impersonation<\/h3>\n<\/div>\n<\/div>\n
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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tThreat: Fake emails sent from lookalike domains requesting urgent fund transfers.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDetection: XDR flags domain spoofing<\/a> and correlates user actions that follow (e.g., large transactions, financial system access).<\/span><\/p><\/div>\n<\/div>\n

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Thes<\/span><\/span>e <\/span>XDR techniques<\/span> not only detect<\/span> but often <\/span>prevent social engineering attacks<\/a> in progress.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Top 5 XDR Use Cases to Strengthen Cybersecurity<\/div>\n<\/div>\n<\/div>\n
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\t\t\t\t\t\t\t\t\t\tSee Fidelis Elevate XDR in Action Across Real-World Threat Scenarios:<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDetect insider threats before damage is done<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tStop phishing and impersonation attacks fast<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tCorrelate alerts across endpoint, network, and cloud<\/span><\/p><\/div>\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\tDownload the Use Case Guide<\/span>
\n\t\t\t\t\t<\/span>
\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Challenges in Detecting Human-Centric Threats<\/h2>\n<\/div>\n<\/div>\n
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Despite advances in detection technology, social engineering <\/span>remains<\/span> hard to <\/span>catch<\/span>.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Why?<\/h3>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tIt often involves no malware or code\u2014just manipulation.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tThe \u201cattack surface\u201d is human, not technical.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\tMany victims don\u2019t report incidents out of fear or embarrassment.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tTraditional alert systems can\u2019t interpret intent or deception.<\/span><\/p><\/div>\n<\/div>\n

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That\u2019s<\/span> <\/span>why <\/span>the most effective way to detect and stop social engineering attacks<\/a><\/span> is to use <\/span>contextual, behavior-aware platforms like Fidelis XDR<\/span>.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Risks and Mitigation of Social Engineering Attacks<\/h2>\n<\/div>\n<\/div>\n
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Organizations that fail to pr<\/span>ioritize social engineering prevention are ex<\/span>posed to:<\/span>\u00a0<\/span><\/p>\n

Data breaches<\/a><\/span>\u00a0<\/span>Financial losses from fraud<\/span>\u00a0<\/span>Reputational damage<\/span>\u00a0<\/span>Insider threat exploitation<\/span>\t\t\t\t\t\t\t\t<\/p><\/div>\n<\/div>\n

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Mitigation Best Practices:<\/h3>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\tEducate employees <\/span>on what are a few ways to identify social engineering attacks.<\/span>\u00a0<\/span>Enable MFA and conditional access.<\/span>\u00a0<\/span>Deploy deception-based detection<\/a>.<\/span>\u00a0<\/span>Use advanced XDR platforms to unify visibility and response.<\/span>\t\t\t\t\t\t\t\t<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Fidelis XDR: The Social Engineering Detection Powerhouse<\/h2>\n<\/div>\n<\/div>\n
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If your security tools <\/span>aren\u2019t<\/span> built fo<\/span><\/span>r behavioral and deception-based analysis, <\/span>they\u2019re<\/span> going to miss human-centric threats. <\/span>That\u2019s<\/span> where <\/span>Fidelis Elevate XDR<\/span> stand<\/span><\/span>s out.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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What Makes Fidelis XDR Effective?<\/h3>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tBehavior-based Detection: Learns and detects deviations in user activity.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDeception Capabilities: Lures attackers into monitored traps and fake environments.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tCross-Layer Correlation: Combines data from endpoints, cloud, network, and identity.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tMITRE ATT&CK Mapping: Aligns social engineering detection with known adversary techniques.<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tAutomated Response: Blocks, quarantines, and alerts in real time.<\/span><\/p><\/div>\n<\/div>\n

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Social engineering detection is no longer optional\u2014<\/span>it\u2019s<\/span> mission-critical.<\/span><\/span> And <\/span>Fidelis XDR<\/span> i<\/span><\/span>s built to tackle it head-on.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Don\u2019t let threats go unnoticed. See how Fidelis Elevate\u00ae helps you:<\/div>\n<\/div>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
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Final Thoughts: Why Fidelis XDR Is Built for the Human Attack Surface<\/h2>\n<\/div>\n<\/div>\n
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Social engineering is no longer a fringe tactic\u2014it\u2019s a core strategy in the modern threat actor\u2019s playbook. From phishing emails and vishing calls to impersonation and insider manipulation, these attacks are designed to bypass technical defenses by targeting something far more complex: human behavior.<\/span>\u00a0<\/span><\/p>\n

The problem?<\/strong><\/em> You can\u2019t patch people. You can\u2019t firewall human curiosity, urgency, or fear. What you <\/span>can<\/span> do is deploy a platform that understands those human patterns\u2014and can detect when something feels off.<\/span>\u00a0<\/span><\/p>\n

That\u2019s where mapping social engineering tactics to detection strategies in XDR becomes not just useful, but essential. It transforms vague behavioral cues into actionable signals. And no platform does this better than Fidelis Elevate XDR.<\/span>\u00a0<\/span><\/p>\n

Fidelis XDR isn\u2019t just another alert engine\u2014it\u2019s a behaviorally aware, deception-driven, context-powered platform built specifically to expose the kinds of subtle manipulations that define social engineering attacks. It combines deep session inspection, identity and behavioral baselines, threat intelligence<\/a>, MITRE ATT&CK mapping, and automated response to catch attacks that fly under the radar of conventional tools.<\/span>\u00a0<\/span><\/p>\n

Where others might see normal activity, Fidelis<\/a> sees deviations. Where others respond to threats after they escalate, Fidelis blocks them before they begin.<\/span>\u00a0<\/span><\/p>\n

If your organization is serious about detecting human-centric cyber threats, defending against insider threat<\/a> social engineering, and building proactive resilience against manipulation tactics\u2014Fidelis XDR is the strategic investment that brings visibility, clarity, and control back to your security operations.<\/span>\u00a0<\/span><\/p>\n

Attackers are evolving. It\u2019s time your detection strategy evolves too. With Fidelis XDR, you\u2019re not just responding\u2014you\u2019re staying ahead.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Our customers detect post-breach attacks over 9x faster.<\/div>\n<\/div>\n<\/div>\n
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Give Us 10 Minutes \u2013 We\u2019ll Show You the Future of Security and why security teams trust Fidelis:<\/span><\/span><\/em><\/p>\n<\/div>\n<\/div>\n

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The post Mapping Social Engineering Tactics to Detection Strategies in XDR<\/a> appeared first on Fidelis Security<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

Social engineering isn\u2019t just a trick of trade anymore, it is trade. Threat actors aren\u2019t only targeting systems; they\u2019re targeting people. And because humans are often the weakest link in cybersecurity, attackers use psychological manipulation to deceive users into giving up credentials, clicking malicious links, or downloading malware. The challenge? These attacks don\u2019t always leave […]<\/p>\n","protected":false},"author":0,"featured_media":4001,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-4000","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/4000"}],"collection":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4000"}],"version-history":[{"count":0,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/4000\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/media\/4001"}],"wp:attachment":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4000"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4000"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4000"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}