Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF335C726331B8AC82DF52EDE7382E4AB2C6859DE8C74550F5C9969D13C7CC06287BB4 |
|
CONTENT
ssdeep
|
1536:aD+EsZ/8zIawDVRYsMuBPRDMuBcrpRXPZlQaQD9OehM+BrUgq4FJ:aMg6RY0RyrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46e91c1c694 |
|
VISUAL
aHash
|
818185898981ffff |
|
VISUAL
dHash
|
631d595959094900 |
|
VISUAL
wHash
|
818185898d81ffff |
|
VISUAL
colorHash
|
1b4010000c0 |
|
VISUAL
cropResistant
|
631d595959094900,fca4a4b0b6d0c6c7,0000000000000400,64c4c480a2828280,e338fc989adc7cca |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)