Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A604B7B3922C193E16774FC5961833293886A14FDE4656D7E2FDC3A413FACD1A8229D3 |
|
CONTENT
ssdeep
|
3072:GyoXjx/uwslmz3nAr1uySIOBbm0CpS4UnzLAMH+Rsp3vVZiO+HccJd4q:GyoXjx/uwslmDnAr1uySIOBbm0CpS4is |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6665589b1695496 |
|
VISUAL
aHash
|
00000080ffffffff |
|
VISUAL
dHash
|
0044240f0e33332e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
16000000180 |
|
VISUAL
cropResistant
|
0f0e333f23333acc,0000444c2584130f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.