Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E003A8706841EC2A51DB9AC99573166A62F98341CA134AC9FAF1C3F94BDFCACDE33045 |
|
CONTENT
ssdeep
|
768:ZgRsIx/jFZ6KloQp6hdYgf84DBBt+YzUf79F:ksIxP6KloQp6hdYgf84DBBt+YM79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b147b9ca39a3c532 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
d9c1c4dc9844383e |
|
VISUAL
wHash
|
00200000efffffff |
|
VISUAL
colorHash
|
32000000180 |
|
VISUAL
cropResistant
|
555540363b1d1a3a,d89bc4c4dc989855 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.