Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3242D23D2F30645262F3DA1E0A6BB0DE1A3FB5F97A05BD44171827167E3C6A30B7598 |
|
CONTENT
ssdeep
|
1536:ROVtv7pgzd86u+FXntzXdQcI9jhro2J4nLkAbNXUBwCi3Nt+4nK1UWOoy+WXZRbG:ROVtzpo86dntzXdOmbNXlZKeZRWxQ2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c908bd1936c64db7 |
|
VISUAL
aHash
|
000000000018ffff |
|
VISUAL
dHash
|
92b3f3b1a2b2f12a |
|
VISUAL
wHash
|
5b5918100078ffff |
|
VISUAL
colorHash
|
06430000000 |
|
VISUAL
cropResistant
|
e4ecf442a2ce92a4,820bd4372b29c420,40043020344e2a2a,9293b1f3b3a8b2b3 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.