Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4235B726722B4B843DB91EEE7382D56B2C6989DF8C74450F5C95ACE13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8g4NDaw3M5B7wIM5BuwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAn:aq+EsZ/8DNDaw3M5B7wIM5BuweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3a6b6b9490c1e1 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
4d71712037000000 |
|
VISUAL
wHash
|
000000c3c3ffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
4d71712037000000,8051a0ae69f03208 |
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.