Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184722A6A621122645E0303DEFE6363AEF207505CEB9207C9E7B9C21DB1D9DE8C835DC6 |
|
CONTENT
ssdeep
|
192:QokoB6CJ54t9vy+LnNiR5bC5C61mVgUvl2ZlXyc61u/ku9cuGRmKbMpBXp7sfgga:QtoCfu4m/vyiussmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb0aed2ed11ad192 |
|
VISUAL
aHash
|
ff000c0c0c0400ff |
|
VISUAL
dHash
|
6109891919195d1a |
|
VISUAL
wHash
|
ff808dcd8d8400ff |
|
VISUAL
colorHash
|
33001038000 |
|
VISUAL
cropResistant
|
6109891919195d1a,2a32aa2ababab2c4,e098888888989cdc |
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 490 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.
Pages with identical visual appearance (based on perceptual hash)
Found 2 other scans for this domain