Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D24F961635461E9B2878FC4E0B13C7630BE72ABF422C1CD85DF4672AED5CF85828967 |
|
CONTENT
ssdeep
|
1536:iFtZkVzN1PLnkXwdU5HJNKDkopwZmfelyu+z3AaUMP2RxvF1lGb8clcVLURMDVkv:iUTMDVG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4ce8ecf71313131 |
|
VISUAL
aHash
|
e7e7c3c3c3c3c3c3 |
|
VISUAL
dHash
|
8686969696868696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
17018000240 |
|
VISUAL
cropResistant
|
8686969696868696,804347464700a280,aaaa3a392410132a |
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 85 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.