Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA33E8B1D184FE2790B3A0CEF821D7C8E29A2815DB101DA47ADC81E2F7CBDB6453416E |
|
CONTENT
ssdeep
|
1536:++wpvG746Foc37tMg4KG2OvU4Ec6HB3pC:+cMg4KG2OvneC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e943563c9478537c |
|
VISUAL
aHash
|
000000c3c3c3c3ff |
|
VISUAL
dHash
|
10c9c81b3323232b |
|
VISUAL
wHash
|
006440ffc3c3c3ff |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
2b33332323232b02,04423cc9c810d9d2,dbb6964b52525252 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.