Capture the Flag · Data Research

UAlbany

Labs

A hands-on lab for capture-the-flag competition and data-driven security research. Real challenges, real datasets, and a team that learns by breaking things.

$ submit
CTF Team
Security Research
Data Science

Where HackersMeet Data

UAlbany Labs brings together people who like taking systems apart. We compete in capture-the-flag events, build our own challenges, and turn what we find into research backed by real data.

Whether you have never opened a terminal or you already read assembly for fun, there is a challenge at your level and a teammate who can show you the next step.

Offensive SecurityDigital ForensicsData ScienceWrite-Ups

Learn by Breaking

Every skill starts with a live target: a vulnerable web app, a binary, a packet capture or a cipher to crack.

Data First

Questions get answered with evidence. We collect, clean and analyze real security data before drawing conclusions.

Team Play

CTFs are a team sport. Members pair up across web, binary, crypto and forensics to solve what no one could alone.

Share What Works

Write-ups, tools and findings are documented so the next member starts further ahead than we did.

CTF
Competition Team
6
Challenge Categories
Data
Driven Research
Lab
Hands-On Practice

Research Areas

Our research sits where offensive security meets data. Each area feeds our CTF play, and each CTF teaches us something worth studying.

01

Threat Data

Threat Intelligence Analysis

Collecting and correlating indicators, attack patterns and public reports to understand who is attacking what, and how.

IndicatorsATT&CK MappingTrend Analysis
02

Packets & Logs

Network Forensics

Reconstructing what happened on a network from packet captures, flow records and logs, and building tools that do it faster.

PCAPZeekLog Analysis
03

Machine Learning

Machine Learning for Security

Training and testing models that spot malicious traffic, phishing and anomalies, and probing how those models can be fooled.

Anomaly DetectionClassificationAdversarial ML
04

Open Sources

Open-Source Intelligence

Answering hard questions from public information: domains, certificates, metadata, maps and the open web.

ReconGeolocationMetadata
05

Binaries

Reverse Engineering

Taking compiled programs and malware samples apart to learn how they work, safely, inside isolated lab machines.

GhidraMalware AnalysisExploitation
06

Ciphers

Applied Cryptography

Finding where real-world encryption goes wrong: weak keys, bad randomness and protocols used the wrong way.

RSASide ChannelsProtocol Flaws

The Arena

Jeopardy-style challenges across six categories. Solve a challenge, find the hidden flag, submit it for points.

Web

Injection, auth bypass, broken access control.

Pwn

Memory bugs, buffer overflows, shellcode.

Crypto

Broken ciphers, bad keys, math puzzles.

Forensics

Disk images, memory dumps, packet captures.

Reversing

Crackmes, obfuscation, custom VMs.

OSINT

Find it with nothing but public sources.

01

Form a Team

Join solo or bring friends. Teams mix beginners with experienced players.

02

Pick a Challenge

Every challenge hides a flag. Start easy, work up to the hard ones.

03

Capture the Flag

Find the flag, submit it, earn points. Hints are there when you're stuck.

04

Write It Up

Share how you solved it so everyone gets better, then climb the scoreboard.

player@ualbanylab:~
$ ./ctf --status
Welcome, challenger. Next event: announced soon
$ cat rules.txt
  - flags look like flag{...}
  - don't attack the scoreboard
  - share write-ups after the event
$ 

From Packets To Papers

Every challenge solved and every packet captured is data. We turn it into research that explains how attacks really happen.

step 1/3

Collect

CTF telemetry, honeypot traffic, public threat feeds and open datasets.

step 2/3

Analyze

Cleaning, labeling and modeling the data with reproducible notebooks.

step 3/3

Publish

Findings, write-ups and tools shared with the community.

How We Do Research

  • No personal data collected without consent
  • Malware and live targets stay inside isolated lab networks
  • Every result reproducible from code and data
  • Responsible disclosure for anything real we find

Join The Lab

No experience needed. Curiosity and a willingness to get stuck are enough to start.

Players

Want to compete? Join the team and get invited to practice nights and events.

Researchers

Have a question the data could answer? Bring it, or join a project already running.

Partners

Sponsor an event, donate challenge infrastructure, or share a dataset with the lab.

Say Hello

contact@ualbanylab.org

Email the Lab