Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120234A726332B86843DB92EEF73C2946B2D54899F8C74454B5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ay+EsZx8/G8g4kDat/MmBttbMmBfUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:ay+EsZ/8DkDat/MmBttbMmBfUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3ae4e43ae4e460 |
|
VISUAL
aHash
|
810c0c0c8cffffff |
|
VISUAL
dHash
|
5d5d5d5d5d200000 |
|
VISUAL
wHash
|
000c0c0c0cffffff |
|
VISUAL
colorHash
|
17001000e00 |
|
VISUAL
cropResistant
|
5d5d5d5d5d200000,dc5cdcdcdcdc9c5c |
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.