Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A720B7DF21C23708A4343E6EF6116F9B30341BDC6126B9CD769C204F2599EE8A569C6 |
|
CONTENT
ssdeep
|
192:QoLoBZJ5I9ODW3V14ltCH7hC2UPmHylMu9cuGRmKbMpBXp7sfgg8gk:QWoW4Wl1KkyusmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edad92926569c564 |
|
VISUAL
aHash
|
e7fff3d3d3ffc3c2 |
|
VISUAL
dHash
|
0f239696b6a41706 |
|
VISUAL
wHash
|
e781f3c3c3db8380 |
|
VISUAL
colorHash
|
07002000c00 |
|
VISUAL
cropResistant
|
0f239696b6a41706,6b0783f46f370fcd |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 487 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.