Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0B1E7F65320B174654707C9FBB1BA9C329B52BEDBA6564082FC87D843D3CC0E809464 |
|
CONTENT
ssdeep
|
96:TYOtKeMs7nLOoBsCHUrSI6NR3kbaLIB3jwMUgqHG8NnwhPANbLuSTvDH:OejOoBsyUeDMB3jfqn2oFXv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc669999 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
10003030b2300010 |
|
VISUAL
wHash
|
3c3c3c3c3c3e3c1c |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
a280a08e86a080a2,10003030b2300010 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)