Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152419A718016DD2711B2C2D4E6B99B1F27818359DB430B62E3F8837E9ECDDA4EE28494 |
|
CONTENT
ssdeep
|
24:jOupfpdMHCk8ghqyEWwh0IyST6jB7UTGCgcRPKZShc7hjEIOykSZSZSL1w8gtEyU:Cup8iOpEWqvTyIT6yKZrQQkSZSZSx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8103012a7e7e7e7e |
|
VISUAL
aHash
|
003f7fffffffffff |
|
VISUAL
dHash
|
d1d0c10080000080 |
|
VISUAL
wHash
|
00030f8f00003fff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d1d0d00080000080,8040410141414080,13ec5c5cc3d4f033 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)