Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168C33B74331C797E667343E6A1963616B23D921BD40F48207378E8A973AEC8DA127FC5 |
|
CONTENT
ssdeep
|
1536:kv5tlfX3MpXR2222+/XOzSXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:kZSXYWzSXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec1192166d6d3cd3 |
|
VISUAL
aHash
|
00fed3d1f193fbff |
|
VISUAL
dHash
|
63983327272727d8 |
|
VISUAL
wHash
|
00fe9081b193f1ff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
8045606d4d606540,c032372727270718,00400cd2d2e01800,1b9e9e9e9ebcb6b2 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.