Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFD102E1D444ED3B435385D8A7F56B0BB791C385CF021944A3F893AB5BCECA0CB26699 |
|
CONTENT
ssdeep
|
96:TkCFnwHmiWSTNtL9VI8wEYF1iXBHFAFAXs2HFOeCXFX/F5R:QonwHHRR9jwETeP2EZXx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c6c6c620ecc7 |
|
VISUAL
aHash
|
0f0f0f0fffffffff |
|
VISUAL
dHash
|
3a383a3800200000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000181 |
|
VISUAL
cropResistant
|
3a383a3800200000,4571713371715561 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.