Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4621C7CF21923B09D4343D6FE6523EAF20741ED96627B9CD7598208B3999FE88119C2 |
|
CONTENT
ssdeep
|
192:QoWoB6CJ54t9NNRge5mJj3tg7Yh9UfKXYtjBuJku9cuGRmKbMpBXp7sfgg8gk:QxoC75ujkY78T3lsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eda9929245698d2f |
|
VISUAL
aHash
|
ffff9393bbff81fe |
|
VISUAL
dHash
|
58c7323272620d4a |
|
VISUAL
wHash
|
fff183839bfb0080 |
|
VISUAL
colorHash
|
07006000400 |
|
VISUAL
cropResistant
|
58c7323272620d4a,630703d975370f4c |
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 485 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.