Careto Analysis

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IOB - Indicator of Behavior (603)

Timeline

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Lang

en	580
de	16
fr	2
pl	2
it	2

Country

de	186
us	88
es	10
cn	2
nl	2

Actors

Careto	3
Mirai	1
Grizzly Steppe	1
Generickdz	1

Activities

Interest

Timeline

Type

Not Defined	256
Operating System	50
Router Operating System	28
Smartphone Operating System	18
Web Browser	14

Vendor

Not Defined	186
Microsoft	30
Cisco	30
Google	18
Adobe	16

Product

Microsoft Windows	14
Google Android	12
Adobe Magento Commerce	12
Cisco IOS XE	10
Linux Kernel	10

Vulnerabilities

#	Vulnerability	Base	Temp	0day	Today	Exp	Rem	EPSS	CTI	CVE
1	Atlassian Confluence Server/Data Center uncontrolled search path	5.3	5.1	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00059	0.05	CVE-2021-43940
2	Apple macOS Login Window state issue	4.3	4.1	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00056	0.05	CVE-2021-30702
3	Microsoft Windows Active Directory integrated DNS privileges management	8.8	8.4	$25k-$100k	$5k-$25k	Not Defined	Official Fix	0.01180	0.00	CVE-2020-0761
4	lighttpd mod_alias_physical_handler mod_alias.c path traversal	7.4	7.2	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00493	0.00	CVE-2018-19052
5	nginx ngx_http_mp4_module information disclosure	5.9	5.8	$0-$5k	$0-$5k	Not Defined	Official Fix	0.00198	0.05	CVE-2018-16845
6	Click Studios Passwordstate PIN Generator information disclosure	4.9	4.9	$0-$5k	Calculating	Not Defined	Not Defined	0.00230	0.00	CVE-2020-27747
7	Microsoft IIS cross site scripting	5.2	4.7	$5k-$25k	$0-$5k	Proof-of-Concept	Official Fix	0.00548	0.17	CVE-2017-0055
8	WordPress Password Reset wp-login.php mail password recovery	6.1	5.8	$5k-$25k	$0-$5k	Proof-of-Concept	Not Defined	0.02827	0.06	CVE-2017-8295
9	Rarlab WinRar Recovery Volume array index	6.3	6.1	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00000	0.03	CVE-2023-40477
10	Ingredients Stock Management System view_item.php sql injection	6.3	6.1	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00088	0.00	CVE-2022-36701
11	HPE OfficeConnect 1820 improper authentication	9.1	9.0	$5k-$25k	$0-$5k	Not Defined	Official Fix	0.00182	0.03	CVE-2022-37932
12	Apache Flume JMS Source injection	8.0	7.9	$5k-$25k	$0-$5k	Not Defined	Official Fix	0.00264	0.04	CVE-2022-34916
13	SourceCodester Online Class and Exam Scheduling System class_sched.php sql injection	7.5	7.3	$0-$5k	$0-$5k	Proof-of-Concept	Not Defined	0.00170	0.05	CVE-2022-2706
14	TCL LinkHub Mesh Wi-Fi MS1G Configuration logserver GetValue buffer overflow	9.4	9.4	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00216	0.00	CVE-2022-24014
15	Download Monitor Plugin wp-config.php access control	4.7	4.7	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00109	0.00	CVE-2021-31567
16	Questions For Confluence App hard-coded credentials	8.5	8.4	$0-$5k	$0-$5k	High	Official Fix	0.97208	0.00	CVE-2022-26138
17	Wavlink WL-WN575A3 POST Request obtw command injection	7.6	7.5	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00373	0.00	CVE-2022-34592
18	Google Chrome Chrome OS Shell use after free	6.3	6.0	$25k-$100k	$5k-$25k	Not Defined	Official Fix	0.00541	0.00	CVE-2022-2296
19	Dice File unrestricted upload	7.6	7.6	$0-$5k	$0-$5k	Not Defined	Not Defined	0.00298	0.00	CVE-2022-32413
20	HMA VPN unquoted search path	8.8	8.0	$0-$5k	$0-$5k	Proof-of-Concept	Not Defined	0.00063	0.00	CVE-2022-26634

IOC - Indicator of Compromise (16)

These indicators of compromise highlight associated network ressources which are known to be part of research and attack activities.

ID	IP address	Hostname	Actor	Identified	Type	Confidence
1	8.28.16.254		Careto	01/01/2021	verified	High
2	12.0.0.38		Careto	01/01/2021	verified	High
3	23.20.44.92	ec2-23-20-44-92.compute-1.amazonaws.com	Careto	01/01/2021	verified	Medium
4	37.235.63.127	127-63-235-37.static.edis.at	Careto	01/01/2021	verified	High
5	XX.XXX.XXX.X	xxxxx-xxx-xxx-xx.xxxxxxxxxxxxxx.xxxxx.xx	Xxxxxx	01/01/2021	verified	High
6	XX.XX.XX.XX		Xxxxxx	01/01/2021	verified	High
7	XX.XXX.XXX.XXX	xx.xx.xxxx.xxx.xxxxxx.xx-xxxxxxx.xxx	Xxxxxx	01/01/2021	verified	High
8	XX.X.XXX.XX	xxxxxxxx-xx-x-xxx-xxx.xxxxxxxxxx.xx	Xxxxxx	01/01/2021	verified	High
9	XXX.XXX.XXX.XX	xx.xx.xxxx.xxxxxx.xxxxxxxxx.xxx	Xxxxxx	01/01/2021	verified	High
10	XXX.XXX.XXX.XX	xxxxxxxx.xxxxxx.xxx.xx	Xxxxxx	01/01/2021	verified	High
11	XXX.XX.XX.XX		Xxxxxx	01/01/2021	verified	High
12	XXX.XXX.XXX.XX		Xxxxxx	01/01/2021	verified	High
13	XXX.XX.XXX.XXX	xxxxxxxxx.xxx	Xxxxxx	01/01/2021	verified	High
14	XXX.XX.XXX.XXX	xxx-xxxx-xxxx.xxxx.xx	Xxxxxx	01/01/2021	verified	High
15	XXX.XXX.XX.XXX	xxxx.xxxxxxxxxx.xxx.xx	Xxxxxx	01/01/2021	verified	High
16	XXX.XX.XXX.XXX	xxxxxxxxx.xxxxxxxx.xxx	Xxxxxx	01/01/2021	verified	High

TTP - Tactics, Techniques, Procedures (24)

Tactics, techniques, and procedures summarize the suspected MITRE ATT&CK techniques used. This data is unique as it uses our predictive model for actor profiling.

ID	Technique	Class	Vulnerabilities	Access Vector	Type	Confidence
1	T1006	CAPEC-126	CWE-22	Path Traversal	predictive	High
2	T1040	CAPEC-102	CWE-294, CWE-319	Authentication Bypass by Capture-replay	predictive	High
3	T1055	CAPEC-10	CWE-74	Improper Neutralization of Data within XPath Expressions	predictive	High
4	T1059	CAPEC-242	CWE-94	Argument Injection	predictive	High
5	T1059.007	CAPEC-209	CWE-79, CWE-80	Cross Site Scripting	predictive	High
6	TXXXX	CAPEC-122	CWE-XXX, CWE-XXX, CWE-XXX	Xxxxxxxxx Xxxx Xxxxxxxxxxx Xxxxxxxxxx	predictive	High
7	TXXXX.XXX	CAPEC-191	CWE-XXX	Xxxx-xxxxx Xxxxxxxxxxx	predictive	High
8	TXXXX	CAPEC-136	CWE-XX, CWE-XX	Xxxxxxx Xxxxx Xx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxxx	predictive	High
9	TXXXX.XXX	CAPEC-178	CWE-XXX	Xxxx Xxxxxxxx	predictive	High
10	TXXXX	CAPEC-	CWE-XXX, CWE-XXX	7xx Xxxxxxxx Xxxxxxxx	predictive	High
11	TXXXX	CAPEC-1	CWE-XXX, CWE-XXX	Xxxxxxxxxx Xxxxxx	predictive	High
12	TXXXX	CAPEC-184	CWE-XXX	Xxxxxxxx Xx Xxxx Xxxxxxx Xxxxxxxxx Xxxxx	predictive	High
13	TXXXX	CAPEC-108	CWE-XX, CWE-XX	Xxx Xxxxxxxxx	predictive	High
14	TXXXX.XXX	CAPEC-1	CWE-XXX	Xxxxxxxx Xxxxxxxxxxxxx	predictive	High
15	TXXXX	CAPEC-49	CWE-XXX, CWE-XXX, CWE-XXX	Xxxxxxxxxxx Xxxxxxxxxx	predictive	High
16	TXXXX	CAPEC-37	CWE-XXX	Xxxxxxxxx Xxxxxxx Xx Xxxxxxxxx Xxxxxxxxxxx	predictive	High
17	TXXXX	CAPEC-38	CWE-XXX, CWE-XXX	Xxxxxxxxx Xxxxxx Xxxx	predictive	High
18	TXXXX.XXX	CAPEC-	CWE-XXX	Xxxxxxxx Xxxxxx Xxxx	predictive	High
19	TXXXX.XXX	CAPEC-133	CWE-XXX	Xxxxxxxx	predictive	High
20	TXXXX	CAPEC-116	CWE-XXX, CWE-XXX, CWE-XXX	Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx	predictive	High
21	TXXXX.XXX	CAPEC-	CWE-XX	Xxxxxxxxxxxxx	predictive	High
22	TXXXX	CAPEC-157	CWE-XXX, CWE-XXX, CWE-XXX	Xxxxxxxxxxxxx Xxxxxx	predictive	High
23	TXXXX.XXX	CAPEC-112	CWE-XXX, CWE-XXX, CWE-XXX	Xxx Xxxxxxxxxx Xxxxx	predictive	High
24	TXXXX.XXX	CAPEC-1	CWE-XXX	Xxxxxxxxxx Xxxxxxxxxxxxxx Xx Xxxxxxxx Xxxx Xxxxxxxxx	predictive	High

IOA - Indicator of Attack (195)

These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration. This data is unique as it uses our predictive model for actor profiling.

ID	Class	Indicator	Type	Confidence
1	File	/api/update_setup	predictive	High
2	File	/APP_Installation.asp	predictive	High
3	File	/cgi-bin/live_api.cgi	predictive	High
4	File	/IISADMPWD	predictive	Medium
5	File	/items/view_item.php	predictive	High
6	File	/pages/class_sched.php	predictive	High
7	File	/php-fusion/infusions/shoutbox_panel/shoutbox_archive.php	predictive	High
8	File	/platform.cgi	predictive	High
9	File	/Status/wan_button_action.asp	predictive	High
10	File	/tmp/.uci/network	predictive	High
11	File	/uncpath/	predictive	Medium
12	File	/Users	predictive	Low
13	File	/usr/	predictive	Low
14	File	Aavmker4.sys	predictive	Medium
15	File	add_user.php	predictive	Medium
16	File	admin/app/physical/physical.php	predictive	High
17	File	admin/auto.def	predictive	High
18	File	api/settings/values	predictive	High
19	File	app/admin/custom-fields/filter.php	predictive	High
20	File	appfeed.c	predictive	Medium
21	File	ashmem.c	predictive	Medium
22	File	auth-gss2.c	predictive	Medium
23	File	xxxxxxxx.xxx	predictive	Medium
24	File	xxxxxxxxxx/xxxxx.xxx	predictive	High
25	File	xxxxxxxxxxxxxxxxxx.xxxx	predictive	High
26	File	xxxxxxxxxxx.xxx	predictive	High
27	File	xxxxx/xxxxxxxx/xxxxxxxxxxxxxxx.xxx	predictive	High
28	File	xxxx	predictive	Low
29	File	xxxx/xxxxxxx.xxx	predictive	High
30	File	xxxx/xxxxxxxxxxxxxxxxxxx.xxx	predictive	High
31	File	xxxx/xxx/xxxxxx_xxx.xxx	predictive	High
32	File	xxxxxxxxxxxxxxxxx.xxx	predictive	High
33	File	xxxxxxx/xxxxxxx/xxxxxxx-xxxx.x	predictive	High
34	File	xxxxxx.xxx	predictive	Medium
35	File	xxxx.xxx	predictive	Medium
36	File	xxxxxxxxxx_xxxxxx_xxxxxx.xxx	predictive	High
37	File	xxxx.x	predictive	Low
38	File	xxxx/xxxxx.xx	predictive	High
39	File	xxx_xxxxxx.x	predictive	Medium
40	File	xxxxxx.xxx	predictive	Medium
41	File	xxxxxxx/xxx/xxx/xxx/xxxxxxx/xxxxxx/xxxxxx_xx_xxxxxxxxx.x	predictive	High
42	File	xxxxxxx/xxx/xxx/xxxx/xxxx_xxx_xxx.x	predictive	High
43	File	xxxxxxx/xxx/xxxxxxxx/xxxxxxxx/xxxx/xxxx/xxxxxx.x	predictive	High
44	File	xxxxxxx/xxxx/xxxxxxx/xxxxxxxx.x	predictive	High
45	File	xxxxx.xxx	predictive	Medium
46	File	xxxx/xxxxxxxxxx/xxxxxx-xxxxx.x	predictive	High
47	File	xxxxxxx.x	predictive	Medium
48	File	xxxxxxxxxxxxxxxxxxx.xxx	predictive	High
49	File	xxxxxxxxxxx.xxx	predictive	High
50	File	xx/xxxxx/xxxx-xxxxx-xxxxx.x	predictive	High
51	File	xxxxxxx.x	predictive	Medium
52	File	xxx/xxxx_xxxx.x	predictive	High
53	File	xxxxxx/xxxxx	predictive	Medium
54	File	xxxx_xxxxxx.x	predictive	High
55	File	xxxxxxxxx.x	predictive	Medium
56	File	xxxx/xxxx/xxxxxxx/xxxxx.xxxx	predictive	High
57	File	xx.xx	predictive	Low
58	File	xxxx_xxxx.x	predictive	Medium
59	File	xx/xxx/xxxxxx-xxx.x	predictive	High
60	File	xx/xxx/xxx.x	predictive	Medium
61	File	xxxxxxx/xx/xxxxxx/xxxxxx-xxx.x	predictive	High
62	File	xxxxxxx/xxxxx/xxxxxx/xxxx.x	predictive	High
63	File	xxxxx.xxx	predictive	Medium
64	File	xxxxx.xxx?x=xxxxx&x=xxxxx&x=xxxx	predictive	High
65	File	xxxxxxxxxxxxxxxxxxxx.xxx	predictive	High
66	File	xxxxxxxxx/xxxxx/xxx_xxx/xxxx.xxx	predictive	High
67	File	xxx.x	predictive	Low
68	File	xxxxxxxx/xxx_xxxx.x	predictive	High
69	File	xxxxx.x	predictive	Low
70	File	xxxxxxxxxxxxxxxxxx.xxxx	predictive	High
71	File	xxx_xxx.x	predictive	Medium
72	File	xxxxxxxx.xxx	predictive	Medium
73	File	xxxxxxxxx	predictive	Medium
74	File	xxxxx.xxx	predictive	Medium
75	File	xxxxxxxx.xxx	predictive	Medium
76	File	xxxxxxx/xxxxxx_xxxxxxx/{xx}	predictive	High
77	File	xxxxxxxxxxx.xx	predictive	High
78	File	xxxxxxxxx.x	predictive	Medium
79	File	xx/xxxxxxx.x	predictive	Medium
80	File	xx/xxxxxxxxx.x	predictive	High
81	File	xxx/xxx_xxx/xxxxxx/xxx_xxxxxx.x	predictive	High
82	File	xxxxxxx/xxxxx/xxxx.x	predictive	High
83	File	xxx_xxxxx.x	predictive	Medium
84	File	xxx/xxxx/xxx.x	predictive	High
85	File	xxx/xxxxxxxx/xxxxxxx.x	predictive	High
86	File	xxxxxxxxxxx.xxx	predictive	High
87	File	xxxxxx.x	predictive	Medium
88	File	xxx_xxxx.x	predictive	Medium
89	File	xxxxxx.xxx	predictive	Medium
90	File	xxxxxx_xxxxxxxxxx.xx	predictive	High
91	File	xxxxxx.x	predictive	Medium
92	File	xxxxxxx/xxxxxxxxxxxxx/xxxxx-xxxx.xxx	predictive	High
93	File	xxxxxxx/xxxxxxx/xx_xxxxxxxxx/xxxxxxxx/xxxxxxxx.xxx	predictive	High
94	File	xxxx.x	predictive	Low
95	File	xxxxx-xxx.x	predictive	Medium
96	File	xxxxxxxxxxx.xxxx	predictive	High
97	File	xxxxxxxxxx.xxx	predictive	High
98	File	xxx/xxxxx	predictive	Medium
99	File	xxx.x	predictive	Low
100	File	xxxxx_xxxxxx_xxx.xxx	predictive	High
101	File	xxxxxx.xxx	predictive	Medium
102	File	xxxxxxxx/xxxxxxxxxxxxxx.xxxx/xxxxxxxxxxxx	predictive	High
103	File	xxxxx.xxx	predictive	Medium
104	File	xxxxx/xxx/xxxxx/xxxxxx.x	predictive	High
105	File	xxxxxx.xx	predictive	Medium
106	File	xxx/xxxxxxxxxx_xxxx	predictive	High
107	File	xxx_xxxxxxxx.x	predictive	High
108	File	xxxxxxx/xxxxxxxxxxxx	predictive	High
109	File	xxxxxxxx.xxx	predictive	Medium
110	File	xxxxxxxx.xxxx	predictive	High
111	File	xxxxxx_xxxxxxx_xxxx_xxxxx.xxx	predictive	High
112	File	xxxxx/_xxxxxxxx.xxx	predictive	High
113	File	xxx.xxx	predictive	Low
114	File	xxxxxx.xxx	predictive	Medium
115	File	xx/xxxxxxxxx/xx	predictive	High
116	File	xxxxxxxxx.xxx	predictive	High
117	File	xxxxxx/xxxxxx.x	predictive	High
118	File	xxxx/xxxxxxx-xxxx.x	predictive	High
119	File	xxxxxxxx.xxx	predictive	Medium
120	File	xx-xxxxx/xxxxxxx-xxxxxxx.xxx?xxxx=xxxxxxxxx-xxxx&xxxxxxx=xxxx	predictive	High
121	File	xx-xxxxx/xxxxxxx-xxxxxxx.xxx?xxxx=xxxxxxxxx%xxxxxxxxxxx.xxx	predictive	High
122	File	xx-xxxxxx.xxx	predictive	High
123	File	xx-xxxxx.xxx	predictive	Medium
124	File	xxxxxxxxx.xxx	predictive	High
125	File	xxxx.xx	predictive	Low
126	Library	xxxxxxx.xxx	predictive	Medium
127	Library	xxx/xxx.x	predictive	Medium
128	Library	xxxxxxxx.xxx	predictive	Medium
129	Library	xxxxxx.xxx.xxxxxx.xxx	predictive	High
130	Library	xxxxxxxx.xxx	predictive	Medium
131	Library	xxxxxxx.xxx	predictive	Medium
132	Library	xxxxxxxx.xxx	predictive	Medium
133	Library	xxxxxxxxxxxxx.xxx)	predictive	High
134	Argument	-x	predictive	Low
135	Argument	xxxxxxxxxxxx	predictive	Medium
136	Argument	xxxx_xxxxxx	predictive	Medium
137	Argument	xxxxx	predictive	Low
138	Argument	xxxxxxxxxxxx_xxxxxxxxxxxx	predictive	High
139	Argument	xxxxx	predictive	Low
140	Argument	xxxxxxx	predictive	Low
141	Argument	xxxxxx_xxxxxx_xx	predictive	High
142	Argument	xxxxxx	predictive	Low
143	Argument	xxxx_xxxx	predictive	Medium
144	Argument	xxxxxx xxxx/xxxxxx xxxxxxx/xxxx xxxx/xxxxx/xxxxxxxx/xxx	predictive	High
145	Argument	xxxxxxxxxxxx_xxxx_xxxx[x]	predictive	High
146	Argument	xxx	predictive	Low
147	Argument	xxxx	predictive	Low
148	Argument	xxxxxxxx	predictive	Medium
149	Argument	xxxxxx	predictive	Low
150	Argument	xxxx	predictive	Low
151	Argument	x_xxxxxxxx	predictive	Medium
152	Argument	xxxxxxx	predictive	Low
153	Argument	xxxxxx_xxx/xxxxx_xxx	predictive	High
154	Argument	xxxx	predictive	Low
155	Argument	xxxx	predictive	Low
156	Argument	xxxx_xxxxx	predictive	Medium
157	Argument	xx	predictive	Low
158	Argument	xx	predictive	Low
159	Argument	xxxx	predictive	Low
160	Argument	xxxxxxxx	predictive	Medium
161	Argument	xxxxxx	predictive	Low
162	Argument	xxxxxxx	predictive	Low
163	Argument	xxxxx	predictive	Low
164	Argument	xxxxx	predictive	Low
165	Argument	xxxxxxxxx	predictive	Medium
166	Argument	xxxxxxxx	predictive	Medium
167	Argument	xxxx	predictive	Low
168	Argument	xxx	predictive	Low
169	Argument	xxxxxxx	predictive	Low
170	Argument	xxxxxxxxxxx	predictive	Medium
171	Argument	xxxxxx_xxx	predictive	Medium
172	Argument	xxxxxxx	predictive	Low
173	Argument	xxxxxx xxxxxxxxx	predictive	High
174	Argument	xxxxx_xxx/xxxxx_xxxxx	predictive	High
175	Argument	xx_xxxx	predictive	Low
176	Argument	xxxx	predictive	Low
177	Argument	xxxxxxxxxxxxx	predictive	High
178	Argument	xxxxx	predictive	Low
179	Argument	xxxxxxxx	predictive	Medium
180	Argument	xxxx	predictive	Low
181	Argument	xxxx_xxxx	predictive	Medium
182	Argument	{xxxxx	predictive	Low
183	Input Value	'\|\|(xxxxxx xxxxxxxxxx xxxxx xxxx=xxxx xxx (xxxxxx xxxx xxxx(xxxxxx xxxxx(),xxxxxx(xxxxxxxxxxxx,(xxxxxx (xxx(xxxx=xxxx,x))),xxxxxxxxxxxx,xxxxx(xxxx(x)x))x xxxx xxxxxxxxxxx_xxxxxx.xxxxxxx xxxxx xx x)x))\|\|'	predictive	High
184	Input Value	**@xxxxxx	predictive	Medium
185	Input Value	../	predictive	Low
186	Input Value	xxx.x.x.x	predictive	Medium
187	Input Value	xxxxx://xxxx.xxxxxxx.xxx@xxxxxx.xxxxxxx.xxx/	predictive	High
188	Input Value	xxxxxxxxxx	predictive	Medium
189	Input Value	xxxx	predictive	Low
190	Network Port	xxx xxxxx	predictive	Medium
191	Network Port	xxx xxxxx	predictive	Medium
192	Network Port	xxx/xxx	predictive	Low
193	Network Port	xxx/xxxx	predictive	Medium
194	Network Port	xxx/xxx (xxx)	predictive	High
195	Network Port	xxx xxxxx	predictive	Medium

References (2)

The following list contains external sources which discuss the actor and the associated activities:

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