Social Media Activity Investigation: OSINT Specialist

@divyam12345

Dear Sir/Madam, I have experience in OSINT analysis and digital research, and I am confident I can investigate and identify patterns of coordinated activity using only publicly available data. I can analyze posting behavior, engagement patterns, and linguistic similarities to detect possible linked or managed accounts. Let’s connect in the chatbox to discuss the project further, including the budget and timeline. I am ready to work with you, please connect in the chatbox for further discussions. Thank You. Dr. Divya.

@Venkatesan03

Hi brother, I have 5+ years of experience in OSINT investigations, cyber threat intelligence, and behavioral analysis. I have worked on identifying coordinated inauthentic behavior across social media platforms using structured analysis and open source intelligence techniques. My approach focuses on pattern detection, account linkage, and content correlation using tools like Maltego, SpiderFoot, and custom analytical workflows aligned with industry practices. For this engagement, I will analyze posting timelines, frequency patterns, and engagement behavior to detect coordination signals. I will perform linguistic analysis to identify similarities in writing style, track reused media through reverse image searches, and map relationships between accounts using social graphing techniques. I can assure you that I will deliver a detailed report with clear evidence, account classification, network analysis, and confidence backed attribution insights within the 3 to 5 day timeline. Please reach out to discuss further and align on specific targets or datasets. Thank you

@subhasishrana

Hi, I can help you investigate this using a structured OSINT approach focused on identifying coordinated inauthentic behavior (CIB) through publicly available data only. I have a background in cybersecurity, bug bounty hunting, and OSINT analysis, with experience in identifying patterns, linking accounts, and analyzing behavior across platforms. I focus on connecting timing, language, and interaction signals to uncover coordination. Methodology: • Behavioral analysis (posting timing, frequency, escalation patterns) • Content correlation (duplicate or templated messaging across accounts) • Engagement mapping (accounts amplifying each other) • Linguistic analysis (writing style, tone, authorship indicators) • Reverse image search & media tracking • Network clustering (linking related accounts using OSINT tools) • Cross-platform tracing (usernames, reused assets, digital footprints) Deliverables: A detailed report with evidence of coordination (if found), account classification (Real/Suspicious/Fake), network mapping, attribution indicators, and confidence levels. I strictly follow ethical guidelines—no intrusive methods, only open-source intelligence. Happy to review initial profiles and start quickly. Best regards, Subhasish Rana

@Sidali04kurt

Hi, A full stack dev and a former greyhat ready to help with detailed securty report and behvioural analysis related to requested OSINT don't hesitate to contact if interested. Thanks

@DuhanD

You’re facing the tricky challenge of spotting coordinated social media activity aimed at you within a Facebook group — and that’s exactly where focused behavioral and network analysis shines. I’d start by mapping posting patterns like timing and content similarity, then layer in linguistic cues and engagement clusters to spot if accounts are working in sync. Reverse image checks and cross-platform traces help confirm whether these profiles tie back to common sources—all using open-source tools and without stepping over any boundaries. I’ve handled similar OSINT projects involving fake account clusters and coordinated campaigns, delivering clear, evidence-backed reports. How soon were you hoping to get initial findings? Regards, Duhan du plessis.

@saikumarmm

Hello, I am a SOC L2 Cybersecurity Analyst with 4.4+ years of experience in threat detection, incident response, and behavioral analysis. I have investigated 400+ high-severity incidents including phishing campaigns, coordinated activity, and account compromise. Your requirement aligns closely with real-world threat intelligence workflows. I will follow a structured, evidence-driven approach: Behavioral Analysis: Identify timing patterns, frequency, and coordination signals Linguistic Analysis: Compare writing style, tone, and repeated content Engagement Mapping: Detect coordinated interactions and amplification OSINT Analysis: Reverse image search, media tracking, cross-platform tracing Network Analysis: Identify linked accounts and behavioral clusters Tools & Techniques: SIEM correlation (Splunk, Sentinel), XDR-based investigation, OSINT methods, MITRE ATT&CK mapping Deliverables: Detailed investigation report Evidence of coordination Account classification (Real / Suspicious / Coordinated) Network/cluster analysis with confidence scoring I use only publicly available data and follow ethical OSINT practices. I can deliver a high-quality report within 5 days. Looking forward to working with you.

@arjunpawar01

Hi, I understand your requirement - this is a classic case of suspected coordinated social media activity, and it needs structured OSINT analysis, not assumptions. I’m an OSINT specialist and founder of Heartless Security, focused on digital investigations and behavioral analysis using publicly available data. For your case, I will: * Analyze posting patterns (timing, frequency, escalation) * Identify linked accounts through interaction behavior * Detect content similarity and coordinated messaging * Perform linguistic analysis for possible shared control * Use reverse image search to identify fake profiles You will receive a clear report with: * Account classification (Real / Suspicious / Fake / Coordinated) * Network/cluster analysis * Evidence-based findings * Confidence level with reasoning I’ve also created a sample report to show the quality of analysis I provide. ⏱ Delivery: 4–5 days Let’s identify what’s really happening behind these accounts. - Arjun Pawar