Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB1221B140452B7F8342A3D4BB71771FE3C2A29ACD824511E5FD8B580BFAD94EC2E919 |
|
CONTENT
ssdeep
|
192:EK0wCX36oqRt1FtgqgW2PlQSaZkhok963:OqRtztxBSaZUog63 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999993333336666 |
|
VISUAL
aHash
|
1818180000000018 |
|
VISUAL
dHash
|
b2b2b23032323232 |
|
VISUAL
wHash
|
3c1818181818183c |
|
VISUAL
colorHash
|
380020080c0 |
|
VISUAL
cropResistant
|
c6585ae4a4d588aa,b2b2b23032323232 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.