Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170234BB26332B86843DB91DEF7382E46A2D2588DE8CB4554F5C95A8D13C3C906297BB4 |
|
CONTENT
ssdeep
|
768:abzB7l4+EsZx8/G8e64QMDaw7MaB6wlMaBpwlr82+/9dtZkDieE565ThHbjoZDW9:abzB7l4+EsZ/8e9QMDaw7MaB6wlMaBpm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac4edc192c4e5c1 |
|
VISUAL
aHash
|
ff8181858d818181 |
|
VISUAL
dHash
|
4319450d49494949 |
|
VISUAL
wHash
|
ff8181cded81e381 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
4319450d49494949,1fdece8ee6ced0e0,4398868c88aaca89 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)