Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DB37472D800D82A20539AE67320B75A72F3958DE6631575D7ADC78C8B81FE3DE71A0C |
|
CONTENT
ssdeep
|
768:DisNRCGAkoVtmxB1XIkJjGPKMXnPUT5yVg2GfbTHbgunbRS6DU9g6hkC0ex1GFk5:DQu9fDU9g6hn0ex1ikL2aRMa3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83a19e7538755996 |
|
VISUAL
aHash
|
027f7f630000263d |
|
VISUAL
dHash
|
96e9c9dfcfc0cce9 |
|
VISUAL
wHash
|
477f7f670020223f |
|
VISUAL
colorHash
|
07208008600 |
|
VISUAL
cropResistant
|
96e9c9dfcfc0cce9 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)