Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB02EA3B3695333D194703B6F21EBBFAA772C483DA2781A9E4F5801C1794ED5D636A80 |
|
CONTENT
ssdeep
|
192:0vyZFLl/t6FGzlrLPDbc2z5T0l0qr10q00ul0sC:0cDPX5TcHFylfC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc494fe2b2a74869 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
d0f0320c96163737 |
|
VISUAL
wHash
|
000000c7e7ffd3ff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
55393a2b33b2b232,808080a6b2b08080,2c1e96963636133f,13c8d03368b2b24c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.