Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9B50913E3575509B27E9CD8F45B7BA23D480A4AA1094AB4767DCB39BCCF1733220B96 |
|
CONTENT
ssdeep
|
3072:RhGS464aQ9/or0UuA1Zvzy5dwL7n144GxWYysB3TpTiGGsCjgd/Cf9kSrMT:GSXWWYya3TpTiGGsCslCVrMT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a75db2075a264 |
|
VISUAL
aHash
|
efffc3c3e7ffc3c3 |
|
VISUAL
dHash
|
96968e8e860c8696 |
|
VISUAL
wHash
|
c3c3c3c3c3c7c2c3 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
96968e8e860c8696,91c9ad525263abad |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)