Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10531E076E400CD261583CCA0E1F5A70FAAF18662C55B37C153F44B7E3AE2CE0D5122AD |
|
CONTENT
ssdeep
|
24:fA5HS85DhNllitClRZQJeMupMAAUxeMuilLDgHjc3cUnHComFNY+:SHSunTitClQ0ncsVDT3cmX2Y+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7777f5d5d000022 |
|
VISUAL
aHash
|
0000e7ffffffffff |
|
VISUAL
dHash
|
104d8c0008000000 |
|
VISUAL
wHash
|
000000fff0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
504d080000000000,0000000000000000,0000000000010100 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.