Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125234C726731B9A883DB51EEEB382D59B1C5449DFCCB4410F6C99A8D23C7C912287BB4 |
|
CONTENT
ssdeep
|
1536:aK+EsZ/86DVR6MQBhRLMQBODrpRXPZlQaQD9OehM+BrUgq4z:a/7RwReDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae91e47bce31c4d0 |
|
VISUAL
aHash
|
81bfbf8181818191 |
|
VISUAL
dHash
|
457d737171713365 |
|
VISUAL
wHash
|
a5ffff9181818191 |
|
VISUAL
colorHash
|
03006000000 |
|
VISUAL
cropResistant
|
457d737171713365,5753c8d4539b4d61,0bfbfffffffa7eff,96f979f0f47833e6 |
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.