Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EF1FCA64198152E353342DCE42973A670A3A36ED6AB050CD2EC933B43DDDA7F967C50 |
|
CONTENT
ssdeep
|
96:TgPiP1W1tUbOw7Nt/+NvRsWHiRcmRaXwfUbOw7N3oYC+p3h+hvb58k:aM1W1tUbB7XGO7AgfUbB7Q+p3h+hWk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c63338c631c6c7 |
|
VISUAL
aHash
|
ffcfcffbfbcb83ff |
|
VISUAL
dHash
|
2890d456429a9a64 |
|
VISUAL
wHash
|
ffcfdcf0f8888800 |
|
VISUAL
colorHash
|
07180000400 |
|
VISUAL
cropResistant
|
2890d456429a9a64,385c6de3a1e18989 |
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.