Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186F19730230C1D3DA2478794E7A17779916EC28ADB1F940CF6BC0275D6C7C85EC6B298 |
|
CONTENT
ssdeep
|
192:8U9D938ZQTTSyGJn7pFs9ydJlddQhTijdHM1:8u93TSyI4y33ihujhC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9d9726268e9c3c3 |
|
VISUAL
aHash
|
403c3c18183c0000 |
|
VISUAL
dHash
|
927070b2f0c8f0f2 |
|
VISUAL
wHash
|
fc1c3c3c3e3e3e00 |
|
VISUAL
colorHash
|
38007200000 |
|
VISUAL
cropResistant
|
a280803717a080a2,927070b2f0c8f0f2 |
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 18 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.