Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138F121D1C044DC3A531285E9F7F56B1BB595C309CF060988A3F852BB57DEC60DA23A9A |
|
CONTENT
ssdeep
|
192:Q/t7khOhHW19WD+hDnVYmZ2GKLzfQT6iaJi:Q/XQoDIDnOcF6iaJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98090d2a1ceee6f7 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
b333003038281102 |
|
VISUAL
wHash
|
0000bf8088e7ffff |
|
VISUAL
colorHash
|
07000030001 |
|
VISUAL
cropResistant
|
4060303028091102,2424b5b7b3b3b20d |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.