Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18662A37390C5747B130709DA98A3771DE2D7431ECAA65C41D2FE57C6ABC1EAE8E1380A |
|
CONTENT
ssdeep
|
192:5jRpR81JZGIvLV64hhAvT4R0vCOONBz4zm8QYgurqu39R/F+5MyqMGn7z2CXfa:bfgDLAvT0BUVH/MIMG7SCPa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece94343921a7bc3 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
391213362732d0d4 |
|
VISUAL
wHash
|
fdfbc3dbff000000 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
331c02121d372602,0c32b23229b69609,9228929696968292,143032c4d4d4d4c0 |
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 110 techniques to evade detection by security scanners and make reverse engineering more difficult.