Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150537570C153A93B515311D1FB396B1A23C1828ACB230F655BF4572EBFCEC11EE625A9 |
|
CONTENT
ssdeep
|
1536:6Z6Ss0wToAZ7SP0wQoWiaaBba/83w+KwJP1+jmT1Fw:6Ad0Snp60j3i3BhgpO1+jmhy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e943d2b9d281d6ac |
|
VISUAL
aHash
|
ff000000c3c3c3ff |
|
VISUAL
dHash
|
13c3c9c3332b23cc |
|
VISUAL
wHash
|
ff000000c3c3ffff |
|
VISUAL
colorHash
|
03001000180 |
|
VISUAL
cropResistant
|
00020003031b0384,332b2b2b2b2bc00c,c3c1c8c2332b2b2b |
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 25 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.