Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA3E612B390713AC156B0A199DFDE08F635555C93DA9808769DC0E99EB087C8B3FEEC |
|
CONTENT
ssdeep
|
3072:objFmcKVAFYS6RLC8O0G79Z3wKz3bjOvD++z/HC2fnU:objFmtVAV6RLC8E79Z3wKz3bjOvDT/i3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece943929231e1ed |
|
VISUAL
aHash
|
fffffbffff000000 |
|
VISUAL
dHash
|
0b2312372442d4d4 |
|
VISUAL
wHash
|
edffc3dfdf000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
0b29061317372642,0830321009c4c601,80924c9292969682,0012e040c4d4d4d4 |
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 6351 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)