Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1674235B0D31404EF581BC7C8A6F7BBEC928272E8E5B145B4725C5ED483E1ED4AF56822 |
|
CONTENT
ssdeep
|
192:3T5e9vwse1edWB/G5pCdTJ55Sk1mw6KNVuyyF7Rly89JJDIWIV:8WlMLJJ0BV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9dc667333cc8c22 |
|
VISUAL
aHash
|
8098181818181800 |
|
VISUAL
dHash
|
0c32b2323232320d |
|
VISUAL
wHash
|
f8f8f8f8d8d89880 |
|
VISUAL
colorHash
|
01002e00000 |
|
VISUAL
cropResistant
|
0808080800008000,8c8c8e60313b6ea6,0c32b2323232320d |
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.