Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3D13FA75018182E253305DCE16A339A7097B35EDBA7090CE29DA37783ECDA7F963C51 |
|
CONTENT
ssdeep
|
96:T6rLrSu1tUbOw7NbfBhe+9eRWmRJ4Sj82nSIFI7TRD1aTh+hvb5uST:g3Su1tUbB7krRLXBNChD1aTh+hDT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc69338933968c7 |
|
VISUAL
aHash
|
fff3f3f3f3c3c3ff |
|
VISUAL
dHash
|
3806866666868668 |
|
VISUAL
wHash
|
fff3f1f1f1810100 |
|
VISUAL
colorHash
|
06000200180 |
|
VISUAL
cropResistant
|
3806866666868668,8400e0d7c3d20082,2524242464446480 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.