Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F839732D39315139067C5C9F0764B0D33528A49CB134BB977BD27BAFACECB56622298 |
|
CONTENT
ssdeep
|
1536:lF2+scxeeTXeSGexRPUgOq61eEykQ4RePUeeGBlREjQ/WK23IRK1lSOHlGIhb9/1:11VPUgOq6daQV6G7+ktTRk222I22222p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cdc7391093cccf |
|
VISUAL
aHash
|
ffc3ffc7c3c3c7c7 |
|
VISUAL
dHash
|
c2a2e28c8e8e8c8c |
|
VISUAL
wHash
|
7ec37ac74242c746 |
|
VISUAL
colorHash
|
03200030040 |
|
VISUAL
cropResistant
|
c2a2e28c8e8e8c8c,099924f031372b2b,d7693248cccc442c,2565477743486921,9793d6c569237171,4753711c30506065 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)