Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A437D37A63579BD93CB41EEFB386A46B2C6849CE8C68504B5C8969D13C7CD032877B4 |
|
CONTENT
ssdeep
|
1536:aY+EsZ/8XhAIV+DVRiMjB2RsMjBjrpRXPZlQaQD9OehM+BrUgq4FJ:axKAIV+ReRNrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf5ac0c2c372e01f |
|
VISUAL
aHash
|
fc9d8f871fff8fdf |
|
VISUAL
dHash
|
49313f5d71413937 |
|
VISUAL
wHash
|
bc9f07071fcd0193 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
49313f5d71413937,45402398d4e45a45 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.