Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFC1323164445977424789D8B2F6BB096286C79ECA0B0A0596FC83D95FF3EA8DC2B354 |
|
CONTENT
ssdeep
|
96:lJjzb3bCeH/kc/kGrYwE1Yhea7LOozTPnxUeWCzswZ62YRnbuePVpZm:jr1k2kCYw3h+sxvPv4buaVpZm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8921a304dd5d77e6 |
|
VISUAL
aHash
|
7e6e181818183cff |
|
VISUAL
dHash
|
b28a7332b2b2f0c8 |
|
VISUAL
wHash
|
7e7e181818183cff |
|
VISUAL
colorHash
|
0e400000180 |
|
VISUAL
cropResistant
|
f27032aeba988383,b28a7332b2b2f0c8 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)