Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13463443C23C1563950C787F2E6949F29D29DCBD9DB27AD8BF3ACC2471A8AC458F51260 |
|
CONTENT
ssdeep
|
768:j1gZFfyqMSubfXHwo4xBg28Dlz61v3PZlGEWbAqQueYZBtMCH+K0Pm:cfHMAA61v3PKEWbHtam |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0b2c2eadad0 |
|
VISUAL
aHash
|
ff0b0b3303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79b90 |
|
VISUAL
wHash
|
ff1b1b3b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
cbdfd3d3d3d7d7b3,2040838b73a36393,dfd3d3d3d7d39ad0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)