Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12763A67B0100B53E2252B7FCDD273D2AE37C5188EE524296D2FAC69D16C2F50CA7A94D |
|
CONTENT
ssdeep
|
768:MJbEdH/o//fDbKahCP5EHU4MQjzdmqwN1:F+SREHU4MQjzdwN1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f757208e16a9173a |
|
VISUAL
aHash
|
00e0c0c0bcffff00 |
|
VISUAL
dHash
|
0444080668681796 |
|
VISUAL
wHash
|
00f0e0e0fcffff00 |
|
VISUAL
colorHash
|
09081002000 |
|
VISUAL
cropResistant
|
44040a0668681617,cc08c4e6aaa7a508,c21d06d2d554d4c0,185880616d65c092,8080e0cd6d608080,d44444080a046868,17171771c4d4d40b |
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 120 techniques to evade detection by security scanners and make reverse engineering more difficult.