Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D723B6F090A2A533009381C0AEE6DB3BB3E54145EDD306265AFD835B9FFEE05ED12659 |
|
CONTENT
ssdeep
|
768:IknPqo6hnHZjIsBZ8q44QI+i2qQgiMU0ENwEAfgtKe9qMgmLLu:IY16/XBZ8q44QI3Qgx6NwEADB8Xu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b14e714e3e314c73 |
|
VISUAL
aHash
|
00ffffcf8fcfcfcf |
|
VISUAL
dHash
|
f120273c3c189a9a |
|
VISUAL
wHash
|
00918787878fcfcf |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
21262d3c3c1a9a9a,0832b2b20ed141e1,e0e6e56425b5a4a3 |
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 1126 techniques to evade detection by security scanners and make reverse engineering more difficult.