Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16742F0F34524E4360252CFD9D2B13B4DE6A39D1BE583AD3212E1472FA6CAC77E91C119 |
|
CONTENT
ssdeep
|
192:k4Zc0EFi8yMCIsRekzskCfTKjevn7eww+f:hZ9EM8yMCIsRQOqvSwwE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e631196699664f99 |
|
VISUAL
aHash
|
42e3e3e3ffe3e3ff |
|
VISUAL
dHash
|
8e8646442c66861a |
|
VISUAL
wHash
|
0003e3c3e3e3c3eb |
|
VISUAL
colorHash
|
07000030010 |
|
VISUAL
cropResistant
|
8e0646442c66861a,27c4e053c165a533,098352d305277b6b,8e4e15670d1b1919,ff656595b16567ef |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.