Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A2635221085A96C2F34C9998103A446282E74FC8718770D6FC5E3F1BD2AB6B799F7E |
|
CONTENT
ssdeep
|
384:TM5jVlFGr7rbrpKIOh4HO8hqHMg+zPrQRQgyKIErShfn:vr7rbr/OUNkIESn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a55a8c255a8f57 |
|
VISUAL
aHash
|
7fe7ffc3c3fcfcfc |
|
VISUAL
dHash
|
848c089696000008 |
|
VISUAL
wHash
|
00c70303033c0c0c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
848c089696000008,1008303230081000,49c9d694d8a491cc |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.