Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFF131E1E041ED7B471386D9E7B96F4BB691C34ECB07094093F882AB9BCAC60CF15599 |
|
CONTENT
ssdeep
|
192:Q3evE9QnbzHJ1zMUhwyYlt8ftSj20x1wyKuzn:QypZhwN/WSjHWrun |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)