Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3721C79B22413B45A8343DEFF3322EDA21340AA96522F9CD368421DF2D9DDDC524DC6 |
|
CONTENT
ssdeep
|
192:QoxoB6CJ54t9Qzy5ZT0GC/W9eq2Lfs8BDg/UCku9cuGRmKbMpBXp7sfgg8gk:QyoCncGj2Lu/AsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb2ac52dd3904ce4 |
|
VISUAL
aHash
|
b18181858181ffff |
|
VISUAL
dHash
|
23014d4909374dcc |
|
VISUAL
wHash
|
f38181818181ffff |
|
VISUAL
colorHash
|
1e007400000 |
|
VISUAL
cropResistant
|
23014d4909374dcc,1fdfcfade6ced0e0,6238a68c8c8880cc |
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 490 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.