Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB234A726322B86883DB91EEF7382D46B2D5589DB8C74414F5C96ACD23C3C816197BF4 |
|
CONTENT
ssdeep
|
768:aN+EsZx8/G8i4wDat4MmBnthMmBB7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:aN+EsZ/81wDat4MmBnthMmBB7UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc3821f5e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e9e9cdc9d1004000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
00000c0c0c0800bf,c000000000000000,fdf9f9c9cdedc9f1 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.