Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175A267F07144693304ABD2D33AA64B6B76FEDAADCD37122163E983590FA5EC8ED53401 |
|
CONTENT
ssdeep
|
192:gP72UYo+BGWnnWLrfynjnBHSubPEg1V4VR2dXrpZH4JEVQZAYQ+tC3xjlymXxdLz:ajJiCfERSE9N3H4JESQwUlymBdLz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc53431c674f3c43 |
|
VISUAL
aHash
|
00ff8ffbff9fffe7 |
|
VISUAL
dHash
|
84303a321334388e |
|
VISUAL
wHash
|
00df8b8b839fff00 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
003a33123334488e,419494b4b4949409 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.