Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FF23F70E052293F0093D2D25671AB1BB3E2C00DCA234766ABFD836E5FDBC81E966755 |
|
CONTENT
ssdeep
|
384:GLB040NhKFd3DrxElLZL0CkLRthWR1rnurzF3NwPtIReM:+vlD3fx2Ll07HhWR1YzF+PtGeM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa2aa59d1ae79d0a |
|
VISUAL
aHash
|
0101010000ffffff |
|
VISUAL
dHash
|
fffbe9c9f9310612 |
|
VISUAL
wHash
|
0701010109ffffff |
|
VISUAL
colorHash
|
06003000180 |
|
VISUAL
cropResistant
|
fffbe9c9f9310612,ff3dfdfdedddfd38 |
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 294 techniques to evade detection by security scanners and make reverse engineering more difficult.