Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCE2D1601341776F0097939776F8B71DE3B48687FEAB4A1EF2B4724B1E8AF0549A1270 |
|
CONTENT
ssdeep
|
768:uii/OjFTJGT/Y/X/c/O/M/TNtgPITbY7DQQ50Ex1kmVm9cUX/LUX/eB7lbIFPdeR:1GjCvecOTLgPITbY7DQrS6z6BRoKA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
966d69926d39b4c4 |
|
VISUAL
aHash
|
000020217fee0e00 |
|
VISUAL
dHash
|
a2c4616bcc8cdc53 |
|
VISUAL
wHash
|
00043cbfffff2e00 |
|
VISUAL
colorHash
|
1a002200000 |
|
VISUAL
cropResistant
|
2164e4641e1ece5c,82c0c9c95adaccae,a2c4616bcc8cdc53 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)