Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B43FD306442D93B42C7A9D59232172AA3F58345CA130A49FAF997FA5FDFC68CE37160 |
|
CONTENT
ssdeep
|
768:vMCsIx/jCgEAs6c5wkxWvD/Kcmf1As6s6rk7F7Uf79F:UCsIxmgTXhD/KcmfaXXruFU79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee2691cb495a362e |
|
VISUAL
aHash
|
fdf781d1b1f1fdfe |
|
VISUAL
dHash
|
71a5252767658944 |
|
VISUAL
wHash
|
bdf1808130b0f9fe |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
71a5252767658944,2ded4e731b1b3539,070b111111656560 |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.