Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E612ED2A2CC2389B59B3C5D826183B5913F7F707ED01884472AEC5B75F93DEAE4014BA |
|
CONTENT
ssdeep
|
96:aEFlijwF/BtfEvAc26+clkX3GGDszsYsPh21KCx1rTSb+zhFeRCWtDHgbNv:owF/jBcja35WKErebIWDHgbNv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3c6363631c9c67 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
cc323232b2b2320c |
|
VISUAL
wHash
|
00181a1a795b1804 |
|
VISUAL
colorHash
|
060001c0000 |
|
VISUAL
cropResistant
|
8cccbeb0333b8496,cc323232b2b2320c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)