Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D1B05581090D3B1423C6D2A5A95E0F71DF8E25E1139F7DD1BC42A98ACBFB0E78A1CB |
|
CONTENT
ssdeep
|
96:T6T6yoNpNKTJNpNKLdazcS563cSGdj5vs1QZM:+T6yYW1//5vsYM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc76b39998269989 |
|
VISUAL
aHash
|
ff000018181800ff |
|
VISUAL
dHash
|
d000323232b20ef0 |
|
VISUAL
wHash
|
ffc0d818181b03ff |
|
VISUAL
colorHash
|
380000c0006 |
|
VISUAL
cropResistant
|
d000323232b20ef0 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.