Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106F34CB463409BBF84C7D3D8DB71065532E983CAC632879CE6F88785E75ACDCC8664A4 |
|
CONTENT
ssdeep
|
1536:3CLwhG844G5V2CrwDHwUx2JFnKZ7Y6NlnWtqdX81HUxYjC1Si8VUrg61KBbuEsIq:SL/wCCyUEfF+7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c47b8e71067906f |
|
VISUAL
aHash
|
0000000000ffffdf |
|
VISUAL
dHash
|
94736131f13437b2 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
00443834363316b6,9444336169313368 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.