Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165833CF5A480FD1201B340D360AF8706B37E491FB81F48A0F6DCC6D672EA86655776E6 |
|
CONTENT
ssdeep
|
768:W5T0TQH7anYFUxQ56G6Sws0058Ys0mC669wU4wWSaafB5lNL/XXUZIs0C+WW9TLY:WhtFXDlBeuLiNTAHwrGukzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3396d96346d3296 |
|
VISUAL
aHash
|
002008007e7c3c7e |
|
VISUAL
dHash
|
9cc8e9d4eccce0c0 |
|
VISUAL
wHash
|
003c0c007e7e7eff |
|
VISUAL
colorHash
|
38200010002 |
|
VISUAL
cropResistant
|
e6ac96913396b99a,e80c56862baba3c2,163d747831f1f9b2,ccdc9edc4ccccee0,163e2b3e3b3e4bcb,b2b133b2c6e86526,9cc8e9d4eccce0c0 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.