Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F71232B037D0293B12B7C39AFA607FBE62D9824BD847DA05B1FCC2196BC6D81DD01661 |
|
CONTENT
ssdeep
|
96:TBO9VFNI5bU57JIeqYyuYfxpFuImTd+lfPJz//w7tvOGnAbiaUpc/1HP:dUV5ex6IFXJzXUvOGAbrP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3d25652534353d6 |
|
VISUAL
aHash
|
00ffffffff000000 |
|
VISUAL
dHash
|
c822d0d22c716161 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
0b007000000 |
|
VISUAL
cropResistant
|
828282c2c2c28282,f030c4d4d4d3cc0c,27d1d8c8c1122080,16f9f16149a02471 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.