Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FA3CD274229752B4437C3C1346A5B3BD2A6998FFEE60A010EECC7F62BF9C90741A55D |
|
CONTENT
ssdeep
|
768:CoeSJtpR4nXF6YjOpSpFlTC6rrW0/mKuH59TZaeXP:CoeutpR4nXBKpSpFl26vbeRTUkP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ff27f1c91453829 |
|
VISUAL
aHash
|
98f1f13f1f10313f |
|
VISUAL
dHash
|
726343c3f3e76366 |
|
VISUAL
wHash
|
80f1f13f1f10313f |
|
VISUAL
colorHash
|
0f201048000 |
|
VISUAL
cropResistant
|
13626163674363e3,c383c3aa6ae6c2e6,988090e0e0a08098,908080e0e0a08088,8880a0e0e0a080a8,9880a0a0a0a0808c,0697c440a1131804,636343c2f3676366,16439536261d4317 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.