Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102B3FC23415835270437C2D1346A6B3BD1A6DA9FFAE70A405EDCCBF72AF9CA0706B159 |
|
CONTENT
ssdeep
|
1536:LUk1jYQqKvDhtf+N6y6gaiPA8MEeqI4VVa2sCMC6iDKWmiMqHSdyVy/WoC6+1eb2:zUME9+bgBGU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9713e92d78c86d61 |
|
VISUAL
aHash
|
0004040400ffffff |
|
VISUAL
dHash
|
585c4c8c1c2a002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
03000200c00 |
|
VISUAL
cropResistant
|
4414ba8ea9993156,0000402020400000,8000412121410080,0020408090004080,aeaa58226416a829,6c000957562b2b0f,535c5c4cac8c1c2a |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.