Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15ED100606538AC3782D7E1E4A2B2CB0E3286C302C343471557FA976D99C9E74CD7A5B6 |
|
CONTENT
ssdeep
|
96:/6Mgkzf4+tFjMmg/Lfz2OvOHtzYqkAxhklLEPjo2hZFmaXaDHgyagAh:/ngkcYNNHTnh9PhBGA/nh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc3399cc |
|
VISUAL
aHash
|
18183c3c183c2418 |
|
VISUAL
dHash
|
f0e0f0f0f0f0c8f0 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38007000400 |
|
VISUAL
cropResistant
|
f0e0f0f0f0f0c8f0 |
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 10 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)