Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F931AA43A59F5665AF3439710DF2403B338562B540E4C20B354ECAE76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:KAovJvI1/XPvbpWpFo2h20VTgHd8tVPTMnEXCdUuq+w7RKk:KBvJvI1/XspMug98nKdU+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663398cc6799cc |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0008323232320c10 |
|
VISUAL
wHash
|
00003c3c3f3f0f0f |
|
VISUAL
colorHash
|
38000000038 |
|
VISUAL
cropResistant
|
0008323232320c10 |
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 27 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.
Pages with identical visual appearance (based on perceptual hash)