Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148B2C230F08111AF2177DEF2F970BF19A093F34EC835C4A05768866D9FDAEE0A625956 |
|
CONTENT
ssdeep
|
192:aeUogSPLRw1Wfa2T0B58OV+8Z5+V6EL0w6vViK2s4B2wSk6CrbChUat7NmKM2GcX:3YbN2Cc1Dx6FQYcO4blmWUprTkWFJkw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6c1a1253656d4d |
|
VISUAL
aHash
|
00df93e3ffffffff |
|
VISUAL
dHash
|
0936361648462b2b |
|
VISUAL
wHash
|
00839383ffff8391 |
|
VISUAL
colorHash
|
07c00000080 |
|
VISUAL
cropResistant
|
3436361608262b2b,008160031b008000 |
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 301 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.