Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B235B726332B86843DB91EDF7382E46B2D6988DE8C74594F5C956CE23C3C816193BB4 |
|
CONTENT
ssdeep
|
768:aF+EsZx8/G85Qc4RF4hDat7M7BsotuM7Bsk7Ucix+y9dQpUDF1E56ITmHDLBABWb:aF+EsZ/85QcSOhDat7M7BttuM7BD7UXB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbe46cc4c191b599 |
|
VISUAL
aHash
|
b1818f8f8f8f8d81 |
|
VISUAL
dHash
|
43615d59595d595b |
|
VISUAL
wHash
|
f1818f8f8f878d81 |
|
VISUAL
colorHash
|
1b408008200 |
|
VISUAL
cropResistant
|
43615d59595d595b,b981392366643013,43ea989c9c9ed85b,c12227061e1f9fe3 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)