Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133235C736722B8B843DB91EEF7382D56B2D6988CF8C74454B5C85A8D23C3C916187BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G8IRF4lDawjM0BVwFM0BAwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:a2+EsZ/8COlDawjM0BVwFM0BAw0N2/y5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec3c7c3c2c2989a |
|
VISUAL
aHash
|
ff839f8387838783 |
|
VISUAL
dHash
|
4d07351f3d372537 |
|
VISUAL
wHash
|
f7838f8387838783 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
4d07351f3d372537 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.