Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0233A726322B86843DB91EEFB382D46B2D5589DE8C74450F5C99ACD23C3C816297BF4 |
|
CONTENT
ssdeep
|
768:aLtWp+EsZx8/G8i4ODatmMmBvtFMmBp7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqT:aA+EsZ/81ODatmMmBvtFMmBp7UXx+y9+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8fc382cf5e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
fdf9cdedd9008000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03003000180 |
|
VISUAL
cropResistant
|
00000c0c0c0c00ff,d500080000000000,fdf9f9cdcdede9f9 |
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.