Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6A3E612B390313AC156B0A199DFDE08B635515C93DA981876ADC1E99EB0C7C8B3FDEC |
|
CONTENT
ssdeep
|
3072:+0ymcKVAFYS6RLC8O0G79Z3wKz3bjOvD++z/HC2fnU:+0ymtVAV6RLC8E79Z3wKz3bjOvDT/i2s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece943929238e1ed |
|
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 6386 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)