Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109435C73672178BD82DB41EEF7382E49B6C5949DE8870440B2D8A6ED23C7C917287B74 |
|
CONTENT
ssdeep
|
1536:a4+EsZ/8geEoDT1eJRIMjBcRXMjB1DrpRXPZlQaQD9OehM+BrUgq4z:aR9RKRuDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad4d4d4d4d4d4d4 |
|
VISUAL
aHash
|
ff01010101010101 |
|
VISUAL
dHash
|
4343434b4b4b4343 |
|
VISUAL
wHash
|
ffb9b9a1a181a1a1 |
|
VISUAL
colorHash
|
31000008c00 |
|
VISUAL
cropResistant
|
4343434b4b4b4343,71c9c14141414141 |
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.
Pages with identical visual appearance (based on perceptual hash)