Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C927E706140A93B06A383C5FB326B6F73C2824ACA530B4947F4C76D5FEAD96CD275A4 |
|
CONTENT
ssdeep
|
192:ebbbQMj8ardn80ssVpjRlTiP6pR2q/Lr1KCbxAEA8heNSiKWxzwgXRY22:Gbbb8aZnFfVpjRxr/2sP1DeEA+e4imD/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccdd626762cc6362 |
|
VISUAL
aHash
|
0018181818181819 |
|
VISUAL
dHash
|
4db2b2b232323331 |
|
VISUAL
wHash
|
f13c3c3c1818383d |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
4db2b2b232323331 |
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 19 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.