Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A532CE56984F91325B710A7A05FA046B2F6181FB80D0E10F548DACA6BFE437606BBD7 |
|
CONTENT
ssdeep
|
768:TT0TQH7YFcUySupW3LTlxJJY2eaSUYggtWeCq4UMM7he6ysAoopTEwIqO22vSqWE:OySup+fzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6ccc53531b6c41 |
|
VISUAL
aHash
|
c0f7818de5858dcf |
|
VISUAL
dHash
|
b30f0f09c909191b |
|
VISUAL
wHash
|
40e7c385c5858def |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
6eec66c68c8cc7c3,fcf4f6f4d0d02424,b30f0f09c909191b |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.