Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C283D66022215D7F218383E4F7907BAE61DAB79DCA4BD90493FC122A2BD7CC4DD27664 |
|
CONTENT
ssdeep
|
1536:8yBEX1spn+rZOVH1QW2R3cQiQVx9s0V1LIo38yoTxxEGJrY4:dpn+rYVH1QW2R3cQiQVx9s0XL/8tx2k5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a93a326f12466d4f |
|
VISUAL
aHash
|
008ffffffbf1ff4f |
|
VISUAL
dHash
|
1b1833030313c8ba |
|
VISUAL
wHash
|
008191f1f3f1ff0e |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
1e1b03080303c8ba,0001030307030300 |
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 52 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.