Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E1EEF0D054ED37439385DAA7B66B0B7392C348CF070A4493F883AE5BDAC60CA5569A |
|
CONTENT
ssdeep
|
96:TklTnbzDJ1tkns+t8v67MrdqSS8SEKSS8ASwvFbeRXbHF/eBXwz/cRYDd2J:QdnbzDJ1b+t8iIxeETRRE6z4Kdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b81c9eb63e9c98 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
221e160e00400000 |
|
VISUAL
wHash
|
dfcbdbc3ff000000 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
20061a12160e1648,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.