Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DE35D5052105B7B504283D8EBB13F9632A650CAD243A758DFE68F4E1897DF3DC2CAB6 |
|
CONTENT
ssdeep
|
1536:fEnKimsMmXrX11X2Os7MKMmQUOrQgIdnTJ6NkWUI5MOX3FCqUI5QOX3FTie5ete+:fEdmVmz2Os7MDm8rVkpfMfPY0JI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa95c1cec862974c |
|
VISUAL
aHash
|
ffcf87818181c1c3 |
|
VISUAL
dHash
|
311b0f19374d0517 |
|
VISUAL
wHash
|
ff8f87818181e1c7 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
311b0f19374d0517,2aacecb29a6c99a8,8d0e2c72dcccb6b7,8c84879707b707cf |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.