Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137F103E1C444DD3A131385E6F7F5275F76A6C345CF020A8853F852BB5BDACA0CA23A99 |
|
CONTENT
ssdeep
|
96:Tkq8o79oh4lzH03meGnVz7KEBzwvFFexXxHF+eRXbz/HVz3wQ6R:Qqx79oh4lzH03unJKEfX7RzflwQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8343417dbc3cfc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
16c9cc30082b6411 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
d9cdcc203830084c,4380000000000000,04044030c9d4e9cc,03232323a0cc6b63 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.