Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126A3EF23815935274437C3C5346A6B3BD1A6D99FFAE709404EDCC7FA2AFAC90741A11E |
|
CONTENT
ssdeep
|
1536:78qomtpR4nXBKpSpFl26vlsn7EH+vyRUSblt:tUMXqNt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13930f6d2d |
|
VISUAL
aHash
|
001f037e6e0f01e7 |
|
VISUAL
dHash
|
dcbf67dcdcd8f30f |
|
VISUAL
wHash
|
000f037f7f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd27dcdcdcb9f30f,dcbd67dcdcdcb367,5155b6654d327a5b,472105170e3c3424,cc11081212080121 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)