Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C7345B0D2A0DD724056C2D4D3765F1A32E4826DDAC3166683FA93BA2FD7CE4DF091A4 |
|
CONTENT
ssdeep
|
1536:iki4Z2wpezbQ+eDeUewkeHH1x7ebnQlX7OVQlX7OTynTpu6ynTpudINDe5QL/epx:nS6I9YCbi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aaabd538329236ce |
|
VISUAL
aHash
|
8383838301010100 |
|
VISUAL
dHash
|
1747670b336b6169 |
|
VISUAL
wHash
|
c7f3b38383013d35 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
c3c3e7f3fdffffff,1747670b336b6169 |
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 4170 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)