Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132F131E1D051ED3B471286D4F7B96F4BB391C74ACB070A4093F883AB9BCAC60CB25599 |
|
CONTENT
ssdeep
|
96:TkBnbzHJ1tJMUhwyt70KwvFrepX7zHFXexX40t711/Gyt7u6Vt7nhJ:QBnbzHJ1zMUhwymSxcK071OyguJn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece4139b538e1a93 |
|
VISUAL
aHash
|
fff3f3f3ffdfff00 |
|
VISUAL
dHash
|
06262626163820c6 |
|
VISUAL
wHash
|
f38191f1df9f8300 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
06262626263024d6,400c627248a6fa02,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.