Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103235A726322B4A843DB91EEF7382D55B2D28889F8C74554F5C99A8E13C3C852297BB4 |
|
CONTENT
ssdeep
|
768:aESsv+EsZx8/G8qi4MDaw0MbB8wKUMbB1CN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:aESsv+EsZ/8q1MDaw0MbB8wtMbBgN2/C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d044cf0f72e26bf0 |
|
VISUAL
aHash
|
40000000001fffff |
|
VISUAL
dHash
|
80e696b6b4730020 |
|
VISUAL
wHash
|
fc02400000ffffff |
|
VISUAL
colorHash
|
0e201208000 |
|
VISUAL
cropResistant
|
08000c0c4800e0c0,3000000000000000,80e6a696b696b473 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.