Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5F12DF1D440ED3B071286C5EBB6AF0BB691C346CA170A4153F483AAABDEC60CF2159D |
|
CONTENT
ssdeep
|
192:QpnbzD715lt8iIGwy90LisXn77yYM40aqdDn:QJnf1Zw40Lf7LM3aqBn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec649393933c9393 |
|
VISUAL
aHash
|
f3f3f3d3ffffc3ff |
|
VISUAL
dHash
|
2626262610061700 |
|
VISUAL
wHash
|
d0c0c0c0cfe581ff |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
2626262610061700,def8b3fce8e9dcfe |
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.