Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C028531D119293FB1274AD5E5E4A33D22EE129DDD031624D5E947AC0BECDE1AC3B660 |
|
CONTENT
ssdeep
|
96:tA3JsCKifknceMiflenif0nifOQVmdFtwksk1CSTQZoQJVSTSTSTLoYFJ91A8xJJ:G3J3uceNRBsbak/neeDJ9yo3IQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93c239b4b44b96b6 |
|
VISUAL
aHash
|
0f0f6f6f6f0f0f0f |
|
VISUAL
dHash
|
d8dadddcdcdc5b58 |
|
VISUAL
wHash
|
0f080e6e0f0f0b0b |
|
VISUAL
colorHash
|
1b001000180 |
|
VISUAL
cropResistant
|
d8dadddcdcdc5b58 |
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 248 techniques to evade detection by security scanners and make reverse engineering more difficult.