Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1019392F14717B63A566A93FAE6219B1A23C3104DCCF21241C3EC8B9CA7C7E5DF98514A |
|
CONTENT
ssdeep
|
1536:LgkghOvfwMATPkBLOvfwMATPkB5fMi+sC4nom4jU7c94czYUR2nxRrIrR9PdRlnL:LRgEc9yEc+c7u+Z6WsokM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9abebe40341518bf |
|
VISUAL
aHash
|
ffffff00000000ff |
|
VISUAL
dHash
|
3569698011989e69 |
|
VISUAL
wHash
|
ffffff00000000ff |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
30310c69698e6969,04d02c2c4a69e92d,0000004d13989893 |
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 641 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)