Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A63C721B848E63702E361C68D68A75D7396E745CE100F84A9F45A7DABE3FE1D8431EC |
|
CONTENT
ssdeep
|
1536:GwfPoMN2TDGChh2U0oeXdxTfaKZruB0fiFyw7QkFODVeQ9Aadd+j:GwfPoMqCoGxT5ZruB0fiFyw7Qb9Aa3+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80a06df74dc2475f |
|
VISUAL
aHash
|
007f7f7fffff3c00 |
|
VISUAL
dHash
|
0696f0d0d04c6031 |
|
VISUAL
wHash
|
00437f7fffef0000 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
9696f0d0d854cc68,c344c4444d4c7170,008830303028c000,0810306a1b617170 |
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 270 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)