Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151D24376E194273B42A7C2C8B760672EB2D3828DEBDA191163FD439E0BD7D10DD1352A |
|
CONTENT
ssdeep
|
384:oe/GLG0gURnehQc17Iym6wXYdS+O+crWgVRjzRT186MIYsOy2+y9BH4cCUIe:oe/GLG9OrYLNGop7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c646fc389969c5c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
8c0cc0c9cdcd8300 |
|
VISUAL
wHash
|
00e4f0302705ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,8c0cc4c0c9cdcd0b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.