Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A2D63623941B3D5603C768FB91F338811DC29AD239DA68F67C1372128BD99E6336D8 |
|
CONTENT
ssdeep
|
384:PWUzuSeGVvbmYpBP2UpjI97r6sJeFr2NjaNcFK:DuSeKvbbpBP2Up87TeFrkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d559a2aa4baa9978 |
|
VISUAL
aHash
|
f888889898ffeffe |
|
VISUAL
dHash
|
0b18182232860c0e |
|
VISUAL
wHash
|
f8c08080c0ffe7fe |
|
VISUAL
colorHash
|
070c0000600 |
|
VISUAL
cropResistant
|
0b18182232860c0e,80c1071f3c1c001c |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.