Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125234A726332B8B843DB91EEF7382E46B2D2588DF8C74554B5C9568D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:am+EsZx8/G8rvRF4MDaw5MqBxwnMqBqw9r82+/9dtZkDieE565ThHEnnvdhfePqR:am+EsZ/8rpOMDaw5MqBxwnMqBqwh82+X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3a84c56dc9d193 |
|
VISUAL
aHash
|
8181858181ffffff |
|
VISUAL
dHash
|
070d09494b000c45 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e000e00000 |
|
VISUAL
cropResistant
|
070d09494b000c45,1fdfce8ee6c6d0e0,9b440c8c8c88545d |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.