Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9A3FC234259362B4437C2C130695B3BD1AA9A9FFAE709401EDCC7FB6BFAC90741A51D |
|
CONTENT
ssdeep
|
1536:tE7tpR4nXBKpSpFl26vgQpDszQX8kWD16w3:KUMVQpDszQX8kWD16w3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93176d0713137d4d |
|
VISUAL
aHash
|
001f0f2e3f0f01e7 |
|
VISUAL
dHash
|
dcbf7cdcdcb8b31f |
|
VISUAL
wHash
|
000f0f3f3f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcb9f30f,dcbd7cdcdc38b33f,89bb1b917327a3c9,68100c32320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)