Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B423B73204C8BB6716D342C8B360E65FD3968440B626CADEF7D5832F66C8D94DC67B98 |
|
CONTENT
ssdeep
|
1536:EqOPFfdB9TINn5QXoZDcVHNzJ5Qpbd9mc:EqOPPYpb+c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
956ae9b0ceea8790 |
|
VISUAL
aHash
|
ff0000006e6e4e5e |
|
VISUAL
dHash
|
71f0d4e4dcdc9cd4 |
|
VISUAL
wHash
|
ff0038007e6e4e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001416363c90006,928fcb8a8e86848c,84c4e0b0885e988e,53c08390e0301cc6,30994ec3e1606468,32d0d0ccdcdc9cd4 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)