Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6235BB26722B8A843DB91EEF7383D55B2D6489DF8C74414B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8o4hDawgMqBywAMqBjr82+/9dtZkDieE565ThHEnnvdhfePqDv+AzY:aE+EsZ/8bhDawgMqBywAMqBv82+/9dtY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c494919cfb6b2a6 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
33313c3c32303034 |
|
VISUAL
wHash
|
00009f8f819f9fbf |
|
VISUAL
colorHash
|
0e000038000 |
|
VISUAL
cropResistant
|
33313c3c32303034,ffffdedf9c7fffff,0cb2b2b23232320c |
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.