Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4235BB26722B4B843DB91EEFB382D46A2D1989DF8C74450B5C95ACD13C3C817297BB4 |
|
CONTENT
ssdeep
|
768:aoLC+EsZx8/G8nRF4QlDawjMwB1wlMwBOwlr82+/9dtZkDieE565ThHbjoZDWphJ:aoLC+EsZ/8ROQlDawjMwB1wlMwBOwZ8g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6b3a3a6e3894c0 |
|
VISUAL
aHash
|
0081ffffffffffff |
|
VISUAL
dHash
|
71510c0f4d371f21 |
|
VISUAL
wHash
|
0000e7c3e7c3c3ff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
71510c0f4d371f21,300cb2b208b2b20c |
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.