Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1674386B2A444EC2152DBC5CC5531236865AA434AC90B49C9F9B1F3ED2F9FE79CA33189 |
|
CONTENT
ssdeep
|
1536:gW1sIxRKSAssbNovyBsOqdxN7J2vUxzwUWAnwR2vYt4L:gW1nrd/7Hnwc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edb292cd92926969 |
|
VISUAL
aHash
|
ffc3c3ffd3dbdbdb |
|
VISUAL
dHash
|
e0969240b2b2b2b2 |
|
VISUAL
wHash
|
df8181ffc1d1c0d0 |
|
VISUAL
colorHash
|
07000038001 |
|
VISUAL
cropResistant
|
e0969240b2b2b2b2,88b292c52023c400,2737310a332d2d42 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.