Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138F2A63081C0553B4A3728D9F8636F2A71E7B20DCA334D1E52FC8AD66FD1C559D2A4AE |
|
CONTENT
ssdeep
|
768:hZN70IIa7mxUGxrcKpWH2c+NINUZu+nCeIeBM3JsPh8xsK3V:570IIa7tiJp2T+NIeI3iPh8KK3V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9642ad6916b6719b |
|
VISUAL
aHash
|
000024060440ffbf |
|
VISUAL
dHash
|
9cc3ccecac9c7275 |
|
VISUAL
wHash
|
0020640606ffffff |
|
VISUAL
colorHash
|
1b003008000 |
|
VISUAL
cropResistant
|
a28082e2f2b280a2,800002b232320092,a2a282babaa28092,8200327afab20282,000824b2b2100000,3007377377747474,9ce0c1ccececac9c,70632307835b5643,6c653318180c4446 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)