Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1993242E1D450E8B3470991D5B3B27BDB7A62CBC8DB034958A6F4836E57CBC68C71248B |
|
CONTENT
ssdeep
|
192:QKahTPZw+jlZEZEZnzDx2Js8iIZdhFohXpoeyZP9kVGAUEDs8F:QKahdw+jzkkzcJs18dhU2P9MGAxDs8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edce3292866d8378 |
|
VISUAL
aHash
|
fffff3f3fbffc343 |
|
VISUAL
dHash
|
c6343236268c0696 |
|
VISUAL
wHash
|
7f9393b393c38103 |
|
VISUAL
colorHash
|
07001c00000 |
|
VISUAL
cropResistant
|
c6343236268c0696,1920850917899867 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.