Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169E132360854242F065796CFB664F71CF0E6D28EC7379645B5FCA6882AC0DC4DC629BD |
|
CONTENT
ssdeep
|
96:QXp03ZZT1URazXtSTfbnR40pylnUh4xVFq/WB3LILkF0O40r:QXytzXcx4cylnXVFq/eILkFVzr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bebe42425a5ef241 |
|
VISUAL
aHash
|
00ffffffffff0000 |
|
VISUAL
dHash
|
0d202b3900208088 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
07000e00010 |
|
VISUAL
cropResistant
|
8d20262339380020,910045458d8d8595,0000918098ac8492 |
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 433 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.