Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118A3D512B3A0713AC156B0A198EFDE08B675415C93DA9808766DC1E99FB087C8B3FDDC |
|
CONTENT
ssdeep
|
3072:OF7EiVXXVAFYS6RLC8O0G79Z3wKz3bjOvD++z/HC2fnU:OF7EiVHVAV6RLC8E79Z3wKz3bjOvDT/8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece943929231e1ed |
|
VISUAL
aHash
|
fffffbffff000000 |
|
VISUAL
dHash
|
0b2312372452f0d4 |
|
VISUAL
wHash
|
edffc3dfdf000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
0b29061317372643,0830320809c48609,82926c9292969680,0012e040d4d4d4d4 |
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 3242 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)