Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15963433D62C0563550CB83B2E5A4AF29D29CCFD9DF27AD8BF2ACC247168AC45CF51660 |
|
CONTENT
ssdeep
|
768:SPQFfzqr/6bfXHwo4xBg28Zcox1v3PZOGEWbnrv1e3QV:Hf+rp8x1v3PjEWbB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0b2c2ead2f0 |
|
VISUAL
aHash
|
ff0b0b2303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
cbdfd3d3d3d7d7b3,2040838b73a36393,dfd3d3d3d7d39a90 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)