Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8738731A256581351A7D2D9F1728B0E22868385C7134FA173FC67BD7ECACB56E212DC |
|
CONTENT
ssdeep
|
1536:UcrMU+OUbJo+cEG+uG0HcGzGm3G1GgGUjNVbHeZoWuPkT2G0lNW4YbULtq:9rMs82PC3oTuUT2FHW3Yq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16c6c31cdc3929e |
|
VISUAL
aHash
|
83838febefc7ef7e |
|
VISUAL
dHash
|
161738dad89adae0 |
|
VISUAL
wHash
|
80830eebcec2ef3a |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
161738dad89adae0,24d293931696d3d3,72586194d555acbc,2bebcbf92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.