Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144332E306840DD3701CB96C8E672177A22F58351CA130A89FAF4D7BA9BEEC69CB37155 |
|
CONTENT
ssdeep
|
1536:7ZsIxmjI4H5mZf/j7+66sbrBl4QH4dh47x:7Z85me47x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0813f3df2c63d0b |
|
VISUAL
aHash
|
00007e7e7c183080 |
|
VISUAL
dHash
|
b590ccccc8b0e40d |
|
VISUAL
wHash
|
00687e7e7e7e70c0 |
|
VISUAL
colorHash
|
30007000040 |
|
VISUAL
cropResistant
|
d1306868b0484a23,9dcd4ba2b0bc2133,04a45959591624a4,b590ccccc8b0e40d |
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 1500 techniques to evade detection by security scanners and make reverse engineering more difficult.