Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11241017084C00437F3F7E31CEE72DB8E27A58285D7424A9C36E559A8D6CDD50C4AA198 |
|
CONTENT
ssdeep
|
24:n9CEC6tvHg5mcIoAy4bQQNPdpYF4RoTD83FVcM7QdoTD83FVcVaWoTD83FVchQSQ:nJNHg5mRXWeh8WeuZWesfWe3a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c437bde4071dc631 |
|
VISUAL
aHash
|
0602003070f8f8f8 |
|
VISUAL
dHash
|
4c3660e5c2823212 |
|
VISUAL
wHash
|
0786207cf8f8f8f8 |
|
VISUAL
colorHash
|
3a018000080 |
|
VISUAL
cropResistant
|
98cc6633d9cce653,8ec7e371389cce67,ad79f9c9b44b4a4a,4c3660e5c2823212,0f3345022245230f |
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 9759 techniques to evade detection by security scanners and make reverse engineering more difficult.