Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE2429A93641B62307EA82DB506B8043F3695559280E093CB67CDDDA757898A70FFFF0 |
|
CONTENT
ssdeep
|
6144:UNuvrSwTwoDhoz/zacreyJJ9zOa0OxcC3keQfaAqbw41kB3mO0nyfhERR4TVsr+w:Lvr3TlyJJ9zOa0OxcC3keQfaAqbw41kc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff6040585b4b5b1b |
|
VISUAL
aHash
|
00e3ff819dffffff |
|
VISUAL
dHash
|
14063b0f69300800 |
|
VISUAL
wHash
|
00c3810101ffffff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
86063b0f79140100,0010501010101080,0000000000000000 |
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 39 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.