Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19022A6232108187AD37381EDA964B5146247D68FCC0256B0B2EC4F7E2BF2DA6E59167F |
|
CONTENT
ssdeep
|
192:uP67G6SHjblIjunJzkuXJzkujSJzkuGkyLlZ/j/jryE3wMLhPjwgE3Zb9:06SLHWsnRxa9Zga9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e91e9661619e9e61 |
|
VISUAL
aHash
|
ffcfcbdbc3c3ffff |
|
VISUAL
dHash
|
0b1b3333921b0102 |
|
VISUAL
wHash
|
008183c3c3c1ffff |
|
VISUAL
colorHash
|
07000000640 |
|
VISUAL
cropResistant
|
0b1b3333921b0102,022fadadd38e0c35 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)