Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131D26371B194373B41A7C2D8B721672AB2D3838EEBDA1915A3F9439D0BD7E10DD1342A |
|
CONTENT
ssdeep
|
384:11e/GL9G2giRKnGjAxHzQKF3/L/KjmrWpV6n9b1K67q6o4IYsOy2+y9BH4cUUIe:re/GL9+6KdLEfOq6v7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c656fc3a814dc5c9 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
0c0cc4c0ddcd8b00 |
|
VISUAL
wHash
|
00c4f8700507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc4c4c9ddcd0f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.