Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BD3F97130141D32B0BB52EAE19ABB15B318F35ECA0A58D0B3DC8665A3F6D35746F386 |
|
CONTENT
ssdeep
|
1536:Q7TK3mKEYAJLD5V5htCd3JtqlHpPJ7y3UfhQ+:OTK3mKEYAJLD5VMd3qT4v+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a92ad2a9dacaaad2 |
|
VISUAL
aHash
|
fb03031b0b03feff |
|
VISUAL
dHash
|
23220f33330f2420 |
|
VISUAL
wHash
|
fb0303130b03ff3b |
|
VISUAL
colorHash
|
38080007000 |
|
VISUAL
cropResistant
|
00000c4c4c4c0000,23220f33330f2420 |
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 26552 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.