Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A1233F1D064ED37072285D5B7B27B2F75B1C248CB020A5463F893AE67CECA1CB21999 |
|
CONTENT
ssdeep
|
192:QdlPZw+jlZ3nzDiIf8ikYk+9EhXh2wOp8D8F:QBw+jz3zbf1zHqhxfD8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a537b34a01bd0e9d |
|
VISUAL
aHash
|
e7e703000000ffff |
|
VISUAL
dHash
|
4d0c3696766529e0 |
|
VISUAL
wHash
|
efe783000000ffff |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
4e4d8c163696f376,5949a9a90d495a57,65614100212030f0,4d8c163696727461 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.