Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3C29531A1006B3B519782CDF662772E65E7430EEB420A6653FD43BD47E2D60DE6382A |
|
CONTENT
ssdeep
|
384:yCQephF9/IRwHtloiTgxydEXB7D5crfntOrsWbAwOYIYsOy2+y9BH4ciUIe:LQephF3Vggm7iLtS37sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53a9c2cbcb8 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8ccc8c8cdcd8b00 |
|
VISUAL
wHash
|
2c7420206465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,c8cccce0c8cdcd8b |
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.