Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110933BB83509F1271A7343A720EF1403B269131B980E4D60B254FD9EB6F9C9AA477FD9 |
|
CONTENT
ssdeep
|
1536:yqaC1nd1IA0hQNHrY8WLx4TESLwsGSMBDLw1j90+1LmjzQ:yqv1nd1d0hQNHrYETTwsiW16+1b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce4e4d86263d963 |
|
VISUAL
aHash
|
d8d0901018181818 |
|
VISUAL
dHash
|
3333233333b230f0 |
|
VISUAL
wHash
|
dbd3dbd91818183c |
|
VISUAL
colorHash
|
3803a000000 |
|
VISUAL
cropResistant
|
eff3cf4d4dffffff,3333233333b230f0 |
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 703 techniques to evade detection by security scanners and make reverse engineering more difficult.