Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16342F8D6D3A5A2EDD047E3E4CA53ED313B821DF5AB02C64983E68DA1D9F184DC8588C7 |
|
CONTENT
ssdeep
|
192:k2nNaIhZ3n/Jt8GzqZOZ/9XTZR/AUnbr184P/j4GBnLa6/94/T9btxzsi70K/uCc:kANhhFxp+Q/9j7bnnxZBnWIQVtxzsi7I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e662bcb5539d9860 |
|
VISUAL
aHash
|
ffe0f0e0e0ffffff |
|
VISUAL
dHash
|
e88b4149496c6180 |
|
VISUAL
wHash
|
34e0e020a09f9fff |
|
VISUAL
colorHash
|
06c40000000 |
|
VISUAL
cropResistant
|
e88b4149496c6180,0e3f437369f1f5c9,0e265b5b4375b5c9,0e375bd3d14b4b75,ceca25334fcdcc6d,c4c5c48a70b03468 |
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 8 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.