Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193A20E10323298BA012FF4E4BD997B0365E7E30BD7825BE295E941F467C9C65BC172E2 |
|
CONTENT
ssdeep
|
192:UMM4ZnXSlJGob9FxMkJTIIC58t/r7eStGCiDVvAytDvStvP4C9j2YgMAE6/GQhZk:UMuJj6DmteJzYylmP4C9jgzWQnGjo+p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c7363819c7 |
|
VISUAL
aHash
|
ffcf8f87efffffff |
|
VISUAL
dHash
|
0c183a3e0c001000 |
|
VISUAL
wHash
|
e787818100000000 |
|
VISUAL
colorHash
|
07e01000000 |
|
VISUAL
cropResistant
|
0c183a3e0c001000,8a8b0c372d0f4e4e |
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 219 techniques to evade detection by security scanners and make reverse engineering more difficult.