Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC836722D297141390ABD1D9B072474933918B89CB134FB577FD27BAF9CECB53622298 |
|
CONTENT
ssdeep
|
1536:GFChNYWee2XehXe3iPUgOq61eKLpwKle40eeQRqbULQCIraChnce/k4HofHgzTB7:c2PPUgOq6HXv/T2Rk222I2222222pCBs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc4e393293c5cc |
|
VISUAL
aHash
|
7c307e4e4c4c4c44 |
|
VISUAL
dHash
|
c0e7e0988a9a8888 |
|
VISUAL
wHash
|
7c707e4e4e4a4e46 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
c0e7e0988a9a8888,01d924f035172b2b,d7693248cccc442c,272b6f37477b3b23,93d6692371f1e1e0,1757631b23534161 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)