Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC31A837E568340B130A07FC7A8031CCC3CB1B0C95C0ED693691759EABE86876AF52A9 |
|
CONTENT
ssdeep
|
24:hKSfmJNhndnDUwC5R3DaeDk7D+QGTW/2R8qdozmjL0Eyjozftoz5ozZozn:enFg1PayK+u/YvoK3L2oLtoloFoj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edd29356926d444d |
|
VISUAL
aHash
|
7efbf1f3f3f3939e |
|
VISUAL
dHash
|
d843323723863638 |
|
VISUAL
wHash
|
7ef1d191c1c3838e |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
d843323723863638 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)