Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D41284339404D42A0FBB918DF7C0E6CC929AC24AFB714992A2E8512F7AC5DF9497537C |
|
CONTENT
ssdeep
|
192:NTXqC3JudUBUgDov1BdCHhvEfMmUU8VCoxgsVS5J+zDz:8UmgDov1zCHhvEfMmUFCoy6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc25bc00fe037a4 |
|
VISUAL
aHash
|
fd9d8787bfcf9f0f |
|
VISUAL
dHash
|
49313e7d631d317a |
|
VISUAL
wHash
|
bd8d83879f81890f |
|
VISUAL
colorHash
|
07c00000400 |
|
VISUAL
cropResistant
|
49313e7d631d317a,45442994cca6114d,1f0f636078fcfce4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.