Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105533CE43751F2245A7301E740AF7456733D751B2C0C09A0B269E9EEE6B84E6B067FC9 |
|
CONTENT
ssdeep
|
768:FCbYjBCledclvDaJkeTpipGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:IeCkdclvD6kAp8zev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18e9e2161cece99 |
|
VISUAL
aHash
|
ffffffc3c3c3ffff |
|
VISUAL
dHash
|
4c10168e9e861c1e |
|
VISUAL
wHash
|
00dfcbc3c3c3c3c3 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
4c10168e9e861c1e,3fdfdf8f64e6d0e0,18872c1c6c28626a |
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.