Mit Vulnerabilities

Timeline

The analysis of the timeline helps to identify the required approach and handling of single vulnerabilities and vulnerability collections. This overview makes it possible to see less important slices and more severe hotspots at a glance. Initiating immediate vulnerability response and prioritizing of issues is possible.

Type

The moderation team is working with the threat intelligence team to categorize software that is affected by security vulnerabilities. This helps to illustrate the assignment of these categories to determine the most affected software types.

Product

MIT Kerberos123
MIT Kerberos 517
MIT krb5-appl2
MIT Lifelong Kindergarten Scratch scratch-vm1
MIT cgiemail1

Grouping vulnerabilities by products helps to get an overview. This makes it possible to determine an homogeneous landscape or the most important hotspots in heterogeneous landscapes.

Remediation

Official Fix116
Temporary Fix0
Workaround0
Unavailable1
Not Defined29

Vendors and researchers are eager to find countermeasures to mitigate security vulnerabilities. These can be distinguished between multiple forms and levels of remediation which influence risks differently.

Exploitability

High0
Functional0
Proof-of-Concept50
Unproven17
Not Defined79

Researcher and attacker which are looking for security vulnerabilities try to exploit them for academic purposes or personal gain. The level and quality of exploitability can be distinguished to determine simplicity and strength of attacks.

Access Vector

Not Defined0
Physical0
Local12
Adjacent10
Network124

The approach a vulnerability it becomes important to use the expected access vector. This is typically via the network, local, or physically even.

Authentication

Not Defined0
High0
Low43
None103

To exploit a vulnerability a certail level of authentication might be required. Vulnerabilities without such a requirement are much more popular.

User Interaction

Not Defined0
Required0
None146

Some attack scenarios require some user interaction by a victim. This is typical for phishing, social engineering and cross site scripting attacks.

C3BM Index

Our unique C3BM Index (CVSSv3 Base Meta Index) cumulates the CVSSv3 Meta Base Scores of all entries over time. Comparing this index to the amount of disclosed vulnerabilities helps to pinpoint the most important events.

CVSSv3 Base

≤10
≤20
≤30
≤48
≤511
≤636
≤710
≤842
≤98
≤1031

The Common Vulnerability Scoring System (CVSS) is an industry standard to define the characteristics and impacts of security vulnerabilities. The base score represents the intrinsic aspects that are constant over time and across user environments. Our unique meta score merges all available scores from different sources to aggregate to the most reliable result.

CVSSv3 Temp

≤10
≤20
≤30
≤411
≤521
≤626
≤739
≤815
≤925
≤109

The Common Vulnerability Scoring System (CVSS) uses temp scores to reflect the characteristics of a vulnerability that may change over time but not across user environments. This includes reporting confidence, exploitability and remediation levels. We do also provide our unique meta score for temp scores, even though other sources rarely publish them.

VulDB

≤10
≤20
≤30
≤49
≤513
≤633
≤711
≤843
≤96
≤1031

The moderation team is always defining the base vector and base score for an entry. These and all other available scores are used to generate the meta score.

NVD

≤10
≤20
≤30
≤44
≤51
≤63
≤76
≤84
≤91
≤103

The National Vulnerability Database (NVD) is also defining CVSS vectors and scores. These are usually not complete and might differ from VulDB scores.

CNA

≤10
≤20
≤30
≤40
≤50
≤60
≤70
≤80
≤90
≤100

A CVE Numbering Authority (CNA) is responsible for assigning new CVE entries. They might also include a CVSS score. These are usually not complete and might differ from VulDB scores.

Vendor

≤10
≤20
≤30
≤40
≤50
≤60
≤70
≤80
≤90
≤100

Some vendors are willing to publish their own CVSS vectors and scores for vulnerabilities in their products. The coverage varies from vendor to vendor.

Research

≤10
≤20
≤30
≤40
≤50
≤60
≤70
≤80
≤90
≤100

There are sometimes also security researcher which provide their own CVSS vectors and scores for vulnerabilities they have found and published.

Exploit 0-day

<1k0
<2k0
<5k15
<10k43
<25k46
<50k41
<100k1
≥100k0

The moderation team is working with the threat intelligence team to determine prices for exploits. Our unique algorithm is used to identify the 0-day prices for an exploit, before it got distributed or became public. Calculated prices are aligned to prices disclosed by vulnerability broker and compared to prices we see on exploit markets.

Exploit Today

<1k124
<2k1
<5k14
<10k5
<25k2
<50k0
<100k0
≥100k0

The 0-day prices do not consider time-relevant factors. The today price does reflect price impacts like disclosure of vulnerability details, alternative exploits, availability of countermeasures. These dynamic aspects might decrease the exploit prices over time. Under certain circumstances this happens very fast.

Exploit Market Volume

Our unique calculation of exploit prices makes it possible to forecast the expected exploit market volume. The calculated prices for all possible 0-day expoits are cumulated for this task. Comparing the volume to the amount of disclosed vulnerabilities helps to pinpoint the most important events.

🔴 CTI Activities

Our unique Cyber Threat Intelligence aims to determine the ongoing research of actors to anticipiate their acitivities. Observing exploit markets on the Darknet, discussions of vulnerabilities on mailinglists, and exchanges on social media makes it possible to identify planned attacks. Monitored actors and activities are classified whether they are offensive or defensive. They are also weighted as some actors are well-known for certain products and technologies. And some of their disclosures might contain more or less details about technical aspects and personal context. The world map highlights active actors in real-time.

Affected Products (7): Kerberos (123), Kerberos 5 (17), Lifelong Kindergarten Scratch scratch-vm (1), Multics (1), PGP Public Key Server (1), cgiemail (1), krb5-appl (2)

Link to Vendor Website: http://www.mit.edu/

PublishedBaseTempVulnerabilityProdExpRemEPSSCTICVE
02/26/20243.53.4MIT Kerberos 5 k5sealv3.c memory leakNetwork Authentication SoftwareNot DefinedNot Defined0.000430.02CVE-2024-26461
02/26/20243.53.4MIT Kerberos 5 pmap_rmt.c memory leakNetwork Authentication SoftwareNot DefinedNot Defined0.000430.03CVE-2024-26458
02/26/20243.53.4MIT Kerberos 5 ndr.c memory leakNetwork Authentication SoftwareNot DefinedNot Defined0.000430.04CVE-2024-26462
08/16/20237.17.0MIT Kerberos 5 do_tgs_req.c improper authorizationNetwork Authentication SoftwareNot DefinedOfficial Fix0.000990.06CVE-2023-39975
08/08/20235.45.3MIT Kerberos 5 kadmind kadm_rpc_xdr.c _xdr_kadm5_principal_ent_rec uninitialized pointerNetwork Authentication SoftwareNot DefinedOfficial Fix0.002670.00CVE-2023-36054
08/23/20213.53.4MIT Kerberos 5 Key Distribution Center do_tgs_req.c null pointer dereferenceNetwork Authentication SoftwareNot DefinedOfficial Fix0.002680.00CVE-2021-37750
07/23/20214.34.1MIT Kerberos 5 Key Distribution Center kdc_preauth_ec.c ec_verify null pointer dereferenceNetwork Authentication SoftwareNot DefinedOfficial Fix0.006160.00CVE-2021-36222
02/02/20216.56.5MIT krb5-appl rcp Client access controlUnknownNot DefinedOfficial Fix0.001020.00CVE-2019-25018
02/02/20215.75.7MIT krb5-appl rcp pathname traversalUnknownNot DefinedOfficial Fix0.000700.00CVE-2019-25017
11/06/20205.55.3MIT Kerberos 5 ASN.1 asn1_encode.c recursionNetwork Authentication SoftwareNot DefinedOfficial Fix0.005200.00CVE-2020-28196
07/16/20208.57.5MIT Lifelong Kindergarten Scratch scratch-vm sb3.js deserializationUnknownNot DefinedOfficial Fix0.031930.04CVE-2020-14000
12/26/20185.15.0MIT Kerberos input validationNetwork Authentication SoftwareNot DefinedOfficial Fix0.003030.00CVE-2018-20217
03/06/20185.14.9MIT Kerberos 5 kadmin ldap injectionNetwork Authentication SoftwareNot DefinedOfficial Fix0.001550.05CVE-2018-5730
03/06/20184.54.4MIT Kerberos 5 kadmin null pointer dereferenceNetwork Authentication SoftwareNot DefinedOfficial Fix0.002080.00CVE-2018-5729
01/16/20185.45.4MIT Kerberos 5 Key Distribution Center ldap_principal2.c null pointer dereferenceNetwork Authentication SoftwareNot DefinedNot Defined0.001570.00CVE-2018-5710
01/16/20187.47.4MIT Kerberos 5 dump.c integer overflowNetwork Authentication SoftwareNot DefinedNot Defined0.000970.00CVE-2018-5709
11/23/20178.58.4MIT Kerberos 5 X.509 Data pkinit_crypto_openssl.c X509_NAME_oneline_ex memory corruptionNetwork Authentication SoftwareNot DefinedOfficial Fix0.020550.00CVE-2017-15088
09/13/20179.69.4MIT Kerberos 5 double freeNetwork Authentication SoftwareNot DefinedOfficial Fix0.006000.03CVE-2017-11462
08/09/20176.56.3MIT Kerberos 5 KDC Assertion input validationNetwork Authentication SoftwareNot DefinedOfficial Fix0.002080.00CVE-2017-11368
07/20/20166.56.3MIT Kerberos 5 KDC Service validate_as_request null pointer dereferenceNetwork Authentication SoftwareNot DefinedOfficial Fix0.048880.02CVE-2016-3120
03/26/20165.34.9MIT Kerberos kadmin ldap_principal2.c process_db_args null pointer dereferenceNetwork Authentication SoftwareUnprovenOfficial Fix0.070990.03CVE-2016-3119
02/03/20164.84.4MIT Kerberos xdr_nullstring memory corruptionNetwork Authentication SoftwareUnprovenOfficial Fix0.007310.00CVE-2015-8629
02/03/20167.57.0MIT Kerberos kadmin kadm5_modify_principal null pointer dereferenceNetwork Authentication SoftwareUnprovenOfficial Fix0.073170.00CVE-2015-8630
02/03/20166.56.1MIT Kerberos rb5_unparse_name memory corruptionNetwork Authentication SoftwareUnprovenOfficial Fix0.064040.04CVE-2015-8631
11/13/20156.36.0MIT Kerberos iakerb.c gss_export_sec_context memory corruptionNetwork Authentication SoftwareNot DefinedOfficial Fix0.007200.04CVE-2015-2698

121 more entries are not shown

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