Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1513161406D6C3EA5C3D7ECAAD0E62962A6C291DB63090552F4C3DE8BD7F61CF031DA |
|
CONTENT
ssdeep
|
48:TavKFBpFTf6myUvXoAivHDAk29JfiaWVx:TaMBTTf6/UvXt26fiasx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc2673996466cc33 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0c3232323232320c |
|
VISUAL
wHash
|
8098d8d8f8f8f8f8 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
39333180b0338aaa,0c3232323232320c,09b9b0b2b0b0c0c0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.