Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102533BE83751F2254A7301E741AF7455733DB62B184C0990B26CE9EAE6B44FAB027FC9 |
|
CONTENT
ssdeep
|
768:F+YjaFPeBof1Do0TpiCGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:wFmBotDoWplzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce8e9a6133ce64 |
|
VISUAL
aHash
|
ffffc3c3c3e7ffff |
|
VISUAL
dHash
|
4e20869e969e1e1e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
4e20869e969e1e1e,3fdfdf8f64e6d0e0,18832c1c6c28626a |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.