Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AE11FF1D440ED37435385D9A7BA6B0B7791C349CF031A4463F883AB5BDACA0CE11599 |
|
CONTENT
ssdeep
|
96:TklnfzD71tDlt8v67McdBSS8IGytmMToYFK42X3HFpGXBz/1IYDd2J:QlnfzD715lt8iIGvGyYM0/mzGKdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c4ce6661999 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
080c100808100800 |
|
VISUAL
wHash
|
e7e7e7e7ff000000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
000c0c08100c0830,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)