Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D235B726732B4A843DB91EEE7393D56B2C2988DF8C74554F1C95A8D23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8zd8g4iDawHMSBLwXMSB+wZqN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:aM+EsZ/8zd8DiDawHMSBLwXMSB+w0N2a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bac4cd93946cc52b |
|
VISUAL
aHash
|
ff8181858d8d8181 |
|
VISUAL
dHash
|
6959430d5969492d |
|
VISUAL
wHash
|
fffd81858d8d8181 |
|
VISUAL
colorHash
|
32000e00000 |
|
VISUAL
cropResistant
|
6959430d5969492d,a2c0c1999dc8d282,1f5eceaee6ced060,a498070c4c28086a |
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)