Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12833D87071A6947745E78EEB47685319D3A2E3D3D8032E845EAD933A4AEEF20FC05721 |
|
CONTENT
ssdeep
|
768:VO1XUsKH5zwdHh63aQGhYRdVOaQIF618f5EKuVm3H:VO1XUsKHiJYRdAOFawKGH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce4e71b12207b5f1 |
|
VISUAL
aHash
|
00103030ffffffff |
|
VISUAL
dHash
|
29616565b31c070e |
|
VISUAL
wHash
|
0000303059ffffff |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
616165e11c07060e,f0e4d8dc81839387,fdcdcddcd9f3ee1c,05432161616565e1 |
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 262 techniques to evade detection by security scanners and make reverse engineering more difficult.