Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E11286E1D428DD360B628AD5B7F27B1BB2B1C649DF020E9022F4837A57DED91CB1189D |
|
CONTENT
ssdeep
|
192:QZUJETZY+jiDiiEZinzYhhdU/l8iIoeVUJvl1fy1d9FElRr0rz8F:QZUJkY+jiDiikizGdUd1TKUJvM9iu8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b27287dd89dc0476 |
|
VISUAL
aHash
|
ffe7c7cfcfffff7f |
|
VISUAL
dHash
|
2a4d0d9c183830c0 |
|
VISUAL
wHash
|
00870303c7cfdf3f |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
2a4d0d9c183830c0,9d8d9d9585c7c707 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.