Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE2349726732B87843DB91EEF7382916B2D2589DB8C74414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a5sq+EsZx8/G8v4QNDawCMLB8wgMLBQwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:a5sq+EsZ/8wQNDawCMLB8wgMLBQwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee3e90c069c99796 |
|
VISUAL
aHash
|
ff84848181ffffff |
|
VISUAL
dHash
|
490d6d030d020000 |
|
VISUAL
wHash
|
a580048080ffffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
490d6d030d020000 |
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.