Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2736120A941ED3B41CBA6C8B5725B7972A94384CA130698F9F583F55FDFC6DDA33088 |
|
CONTENT
ssdeep
|
768:pElAsIx/jNgRdxRSa9UubDVMc95tR1taBlrp0OUf7QPPPPPPPPPPs:ptsIxmRfRSaDjtztilrp0B7R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
924c7332c73a47b6 |
|
VISUAL
aHash
|
005c3c3f7f0f0fff |
|
VISUAL
dHash
|
f591f1f0e8d91958 |
|
VISUAL
wHash
|
00583c7f3f0c0dbf |
|
VISUAL
colorHash
|
06207000000 |
|
VISUAL
cropResistant
|
b1b1f1f0e8995958,a2928ebeb6a6a6ba,86beb6a6a6aed81e,f591f1f0e8d91958,5dd4ccdcd4c4dc43,5454545c17070f1f,496949d2a6496969,1d2d4d4c4c0c1d19,0109c94989999998,1534343264666475,6b6b6a4f4f4f4f43 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.