Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E334C726731B8A883DF52EEE7382D49A2C6549DF8CB4550F5C996CD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aJ+EsZ/8DQDVRhMQBFRBMQBerpRXPZlQaQD9OehM+BrUgq4FJ:aWRRzRorpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9113ee3de9e292c4 |
|
VISUAL
aHash
|
0000040c000fffff |
|
VISUAL
dHash
|
a91a8c9a9adc0090 |
|
VISUAL
wHash
|
3c00060e0e0fffff |
|
VISUAL
colorHash
|
1b4010000c0 |
|
VISUAL
cropResistant
|
00000c0c0c080080,fca4a4b4b4eacec3,ba989c7c00010000,a81afe8c98ba98dc |
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.