Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113D2A6397254193FA41F8BFAF674777D60AAC38FD61B948CE67D02A05782C41AC632C8 |
|
CONTENT
ssdeep
|
384:6WoRuTJTn7aeGLupGhBa5mmQk1Jrc1UlfvmfDv5jNt7yTMliVk:6WoRu9Tn7aeBpMBgmpkHr2Upvo7o/G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e86995959666949d |
|
VISUAL
aHash
|
ffc1c1c1ffffffff |
|
VISUAL
dHash
|
9993838b933333b3 |
|
VISUAL
wHash
|
4f4141c1dbd9d1d9 |
|
VISUAL
colorHash
|
0600001a200 |
|
VISUAL
cropResistant
|
9993838b933333b3,4606466620203030 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.