Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2A232132108599AC2F34CD858102A456282E70FC8719670D6FC1E7F1BE6AA6B79DF7F |
|
CONTENT
ssdeep
|
384:TLo2o1olBZ3e4e4eb6lWbIbDl0i/fSzlBp3hNvGD0Kh:vWcK3A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a55a8ea552ad72 |
|
VISUAL
aHash
|
e7e7e7e7e7fcfcfc |
|
VISUAL
dHash
|
0c0e1e0c0c000808 |
|
VISUAL
wHash
|
00e7c3c303243c3c |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
0c0e1e0c0c000808,49c9d694d8a491c8 |
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.