Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3414111300CDE2796628BA8ABD0FF1522DFC254D3844E08F3F496AF6DE7D8589116AE |
|
CONTENT
ssdeep
|
48:Im35MwJvGcrZFETLv0tLBgvrX7+8y1laAPFu6Fs5+KCDD:7/Di0SL+hxuks5RY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce4e313118ce7373 |
|
VISUAL
aHash
|
00003ebdbdc3ffff |
|
VISUAL
dHash
|
d0e4e06178042000 |
|
VISUAL
wHash
|
00107efefcf0f0f0 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
e8968eaab28a92c4,222c8c0c88ac2624,e46061710c200000,3050c8cce0f0e4cc |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.