Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154235B726722B8B883DB91EEF73C2D46A2D5588DF8C74450F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a0+EsZx8/G8jRF4kDawJMqBpw/MqBgr82+/9dtZkDieE565ThHEnnvdhfePqDv+z:a0+EsZ/8tOkDawJMqBpw/MqBc82+/9dq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb38b9d595958491 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
71514d454545514d |
|
VISUAL
wHash
|
ff8181bda1b981b1 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
71514d454545514d,3291c4c4ccc090c4 |
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.