Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3E211363040042D47F3F4D5D9707F4A76D3FA0AE3A984D0ADFA912E6EEEC6170994A9 |
|
CONTENT
ssdeep
|
768:1fD6RRmtrJUP9gRC8DFKddTZYhaKPonJAU:1r6RRmxeP9gRC8DFKdvY0Jl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984738eeb4e14739 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
d5f1d14d30699094 |
|
VISUAL
wHash
|
00000024ffffdfdf |
|
VISUAL
colorHash
|
170000001c0 |
|
VISUAL
cropResistant
|
403838146994949c,92c4f5f1f1d1c1d5 |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.