Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADC133E1C814ED37471286D4A7FA7F4BB691C749CB021940A7F483AF97C9CA0CB1559D |
|
CONTENT
ssdeep
|
96:TkJsCTMOeOlMOnzeN7eSTgGJt7JsYaGgq8FXCXnHFfKXIz/gNYYyJ:QJdTZblZnzetkGJr1aGgqrpzxP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3361c1c3736361d |
|
VISUAL
aHash
|
00ffe7e7ffffffff |
|
VISUAL
dHash
|
2c004d4d10080000 |
|
VISUAL
wHash
|
00ffe4e4e0e0f0f0 |
|
VISUAL
colorHash
|
07001000c00 |
|
VISUAL
cropResistant
|
0c004d4d000c0008,0040303030303040,0812307160312916 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.