Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8331B9711D1B02AC4463069FECFA098BFB3C5165636E870850CD535A6688BBA63FFDC |
|
CONTENT
ssdeep
|
1536:f6D1qcuqSqXhVL2W8cztgtivxf7SGYRwKqm:fiAqxVL2OTlOhRwKD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc8a3d823d827d8e |
|
VISUAL
aHash
|
9fdf81ffffffff81 |
|
VISUAL
dHash
|
232f2b0341114033 |
|
VISUAL
wHash
|
818181bfffff8180 |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
232f2b0341114033,92515171512d8c10,0830323232100801 |
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 1643 techniques to evade detection by security scanners and make reverse engineering more difficult.