Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EE1DDA34058183E753746DCE16A63A631A6B31EE7A7060CD2EC937707EDCA7B967C04 |
|
CONTENT
ssdeep
|
96:TPNWhNWJ6V1dKYG+bbn1iRqmRaXaDKDYhw+p3h+hvb5Wk:rAO6V1dGocVAqg+p3h+hYk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c7c738c63139c6 |
|
VISUAL
aHash
|
ffffdfdbff8f8fff |
|
VISUAL
dHash
|
0060505644989a60 |
|
VISUAL
wHash
|
8abc9d913d0d81cf |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
0060505644989a60,385c45a860808810 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.