Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE234BB26332B8A843DF91DEF7382A45B2D2988DF8C74554B5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:au+EsZx8/G8W043DawHMaBhMw8MaBhNr82+/9dtZkDieE565ThHbjoZDWphfBqPj:au+EsZ/8Wv3DawHMaBaw8MaBf82+/9d/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb666cc4c990b599 |
|
VISUAL
aHash
|
a1818f8f8f8f8f89 |
|
VISUAL
dHash
|
43611d19191d1d51 |
|
VISUAL
wHash
|
81818f8f8f8f8f89 |
|
VISUAL
colorHash
|
1b408008200 |
|
VISUAL
cropResistant
|
43611d19191d1d51,3981392366643012,43401a185c9e9c50,c32246061d1f3fe7 |
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.