
Intelligence Operation: Gang Violence (Jan 2022-Jul 2022)
I volunteered my time working as an intelligence analyst for state, local, and federal law enforcement to scope out suspected members of a violent gang. I was given a few names and photos of certain targets of interest, and my duty was to identify other members of that gang, along with locations they frequent. Beginning on social media and singling out each target and identifying any photos or posts they had with firearms or illegal substances. I also identified any illegal means of business from aiding others in creating fraudulent Paycheck Protection Program loans to selling counterfeit clothing items, firearms/parts, automobiles, and drugs. Additionally, I identified each gang member's associated females, family, and children, along with social media platforms belonging to them. Using web scraping tools, I was able to preserve each gang member's social media accounts, including posts, in the case they deleted it to later be used as evidence. After gathering all the intel needed, I assisted in putting my findings into i2 Analyst Notebook, Excel, and a PowerPoint presentation. I presented these findings in a meeting with an audience that contained District Attorney Investigators, ATF, Secret Service, Alabama Sheriffs, FBI Agents, Birmingham Police, and US Marshals.
Anti-Trafficking Intelligence Initiative: OSINT Research Connecting Onlyfans to Sex Trafficking and Child Sex Abuse (Dec 2021-Jan-2021)
In this project, I was given the task to conduct OSINT using Google Docs to record the number of times a user on Onlyfans mentioned popular escort sites that are known for being associated with human trafficking. Inversely, I applied the same Google Doc methodology for the escort sites given, and Onlyfans- this showed how many Escort ads contained links to an Onlyfans account. Next, I was given key terms that are commonly used in the involvement of child sexual abuse material and used those key terms with my Google Doc methodology that gave me number of results showing every Onlyfans account using the child sex abuse key terms. I then took a sample of individuals that were found on OnlyFans having CSAM related keywords and conducted OSINT on those individuals, linking them back to videos on PornHub, their traffickers, and finding their social media accounts. These findings were then sent by my boss to law enforcement. Overall, this research concluded there is a high
amount of child sexual abuse related content on Onlyfans, as well as a strong link to sex trafficking. Reference: https://followmoneyfightslavery.org/expert-analysis-ofbropen-source-material-relating-tochild-sexual-abuse-material-and-sex-trafficking-occurring-on-onlyfans-com
Federal Grand Larceny Case
For Homeland Security Investigations, I was able to help agents by compiling a list of stolen vehicles and their prices, for those agents to present the evidence in federal court. I was given the data for an individual who made their living off stealing cars and selling them. This data included many police reports, jail phone calls, FLOCK images, and two of the perpetrator’s phone dumps. My job was to sift through this data and figure out all the vehicles in which the perpetrator stole. I tied each car identified back to 18 U.S. Code § 511, 18 U.S. Code § 2312, 18 U.S. Code § 2312, 18 U.S. Code § 2314. I used Cellbrite to go through the perpetrators cell phones, and I was able to connect them to multiple car dealership crime scenes in police reports by discovering his geolocation and timeframe being consistent with police reports. I was also able to identify that the perpetrator had stolen $5,000,000 worth of cars within the past two years. These findings are a large portion of the evidence Homeland Security Special Agents are using in court to prosecute this individual.
Project: Webscraping to Detect Human Trafficking on Escort Sites (Aug 2021-Dec 2021)
This project was created to detect indicators of human trafficking in escort ads by analyzing the circuits of specific escorts. The project was chosen by me in my Computer Forensics course. My group and I collaborated to create a program that would pare down data that was scraped from BackPageGals and KittyAds into a format that could be manipulated to be sorted by phone number, URL, location, and dates of where and when an individual escort was providing services. After analyzing the data, we sifted through the top ads that were posted by one individual with a time and date consistent to proving that individual was a real person, we then pulled out indicators of trafficking within those ads, and then mapped circuits for the individuals that had the most indicators of trafficking. The circuits were created based on their location and time and date, which showed where that escort travels and in what time frames. Traveling in circuits is an indicator of trafficking itself, and we were able to identify 100 real individuals who had indicators of trafficking within their ads were also traveling in circuits along the I-20 corridor.