Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FF1A662111C683B511343C8F3D2A7BE61C3C281CE492A0586FA47EA4FF7DD4EE6715A |
|
CONTENT
ssdeep
|
96:SMTs9kSUowhYW+BJ6v0Xh/o1kmxBE+JaEnJu42wHCHlgR61rBxJ5eC1H1TpH:Sj3vK1fBExEcRHvFeC91Tt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92966d69c36992c7 |
|
VISUAL
aHash
|
00043e2e3e0e0000 |
|
VISUAL
dHash
|
d5acececccdcb3b8 |
|
VISUAL
wHash
|
645e7e7f7e1e0800 |
|
VISUAL
colorHash
|
31400007000 |
|
VISUAL
cropResistant
|
23239c3335710dcc,d5acececccdcb3b8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)