Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A91EE21700A5467B5538BF6F3CDB82672D5FA01C7566784E2EA93780BC9CB48A36748 |
|
CONTENT
ssdeep
|
96:pA4oO5HbzWmCuXHmOXa8AiAGKMgizxjd0dx1QZ4:FoOpWnuXHmOXa8AiAtMgedn4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff807f80809f807f |
|
VISUAL
aHash
|
ff00ffffffff0000 |
|
VISUAL
dHash
|
3324c080a1804040 |
|
VISUAL
wHash
|
0000ffffffff0000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
0023333363630000,80c0c0a0a050c080,4ae0cc9ccccce04a,0000000008080808,0000402020204000,8040404040408000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.