Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4931BB223552A3F110343F08729B52AE3C5DA49C763DA52F7FC4352E7CACA89E38595 |
|
CONTENT
ssdeep
|
1536:IpfLz/sPLbrXL2Pix8p8cnf8SxKH8vx2gU+t0bIP9urhI/yZvBHswvyRTsio5bt5:R5dGJnDrS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6de3c3c1d29c |
|
VISUAL
aHash
|
00001e7e7e660000 |
|
VISUAL
dHash
|
ca276cdccccc33cc |
|
VISUAL
wHash
|
00003e7e7f7f0800 |
|
VISUAL
colorHash
|
07010000400 |
|
VISUAL
cropResistant
|
ca276cdccccc33cc,5b595949a180a1a1,60eb7534d5754d92,c5ada5b58aa9a9a8,4535416969610141 |
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)