Ruby Gem 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.

Vendor

Identifying all affected vendors is a good starting point for an overview. This makes it possible to determine an homogeneous landscape or the most important hotspots in heterogeneous landscapes.

Product

actionpack Gem4
Puma Gem4
Nokogiri3
Chartkick Gem3
Loofah Gem3

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 Fix65
Temporary Fix0
Workaround1
Unavailable0
Not Defined36

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-Concept1
Unproven0
Not Defined101

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
Local21
Adjacent9
Network72

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
High1
Low42
None59

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
Required21
None81

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
≤31
≤49
≤59
≤630
≤720
≤814
≤918
≤101

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
≤32
≤49
≤512
≤633
≤718
≤815
≤913
≤100

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
≤32
≤420
≤512
≤627
≤79
≤830
≤92
≤100

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
≤41
≤53
≤613
≤79
≤821
≤98
≤1020

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
≤32
≤40
≤50
≤60
≤71
≤82
≤91
≤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

<1k39
<2k22
<5k41
<10k0
<25k0
<50k0
<100k0
≥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

<1k90
<2k12
<5k0
<10k0
<25k0
<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 (84): actionpack Gem, active-support Gem, Addressable, aescrypt gem, bindata Gem, brbackup Gem, BSON Gem, cap-strap Gem, CarrierWave, Chartkick Gem, ciborg Gem, codders-dataset Gem, CSV-Safe Gem, datagrid Gem, date Gem, Dragonfly Gem, Elastic APM Agent, espeak-ruby Gem, excon Gem, Features Gem, festivaltts4r Gem, Field Test Gem, field_test Gem, Fileutils, gon Gem, gyazo Gem, hammer_cli_foreman Gem, http gem, JMESPath, json-jwt Gem, JSON Gem, kajam Gem, Karo Gem, kcapifony Gem, kramdown Gem, lawn-login Gem, lean-ruport Gem, Loofah Gem, magento-lts Gem, Mail gem, makandra consul Gem, Mark Evans Dragonfly Gem, netaddr Gem, Nokogiri, Nokogiri Gem, Octokit Gem, Octopoller Gem, omniauth-apple Gem, omniauth-auth0 Gem, omniauth-weibo-oauth2 Gem, OmniAuth Gem, Ox Gem, Paperclip Ruby Gem, paranoid2 Gem, PgHero Gem, point-cli Gem, private_address_check Ruby Gem, Puma, Puma Gem, rack-cors Gem, rack-mini-profiler Gem, rails-html-sanitizer Gem, rails_admin Gem, Rake, random_password_generator Gem, rest-client Gem, REST Client for Ruby, REXML Gem, rubyzip Gem, Ruby Gem Fileutils, ruby_parser-legacy Gem, Safemode Gem, Sanitize Gem, secure_headers Gem, simple_captcha2 Gem, strong_password Gem, Thor Gem, Thoughtbot Paperclip Gem, typo Gem, VladTheEnterprising Gem, Wayne Conrad ftpd Gem for Ruby, WEBrick Gem, websocket-extensions, yajl-ruby gem

PublishedBaseTempVulnerabilityProductExpRemCTICVE
06/16/20223.93.8Octopoller Gem default permissionOctopoller GemNot DefinedOfficial Fix0.05CVE-2022-31071
06/16/20223.13.0Octokit Gem default permissionOctokit GemNot DefinedOfficial Fix0.02CVE-2022-31072
06/07/20225.55.3JMESPath JSON.load Privilege EscalationJMESPathNot DefinedOfficial Fix0.00CVE-2022-32511
06/03/20225.55.3Dragonfly Gem URL argument injectionDragonfly GemNot DefinedOfficial Fix0.02CVE-2021-33473
05/22/20227.77.6Nokogiri XML Parser/HTML4 SAX Parser #to_s memory corruptionNokogiriNot DefinedOfficial Fix0.02CVE-2022-29181
05/18/20222.62.5random_password_generator Gem Kernel#rand random valuesrandom_password_generator GemNot DefinedOfficial Fix0.05CVE-2019-25061
05/01/20225.55.3CSV-Safe Gem csv injectionCSV-Safe GemNot DefinedOfficial Fix0.04CVE-2022-28481
04/12/20226.46.3Nokogiri Regular Expression resource consumptionNokogiriNot DefinedOfficial Fix0.00CVE-2022-24836
02/09/20225.45.3typo Gem behavioral workflowtypo GemNot DefinedOfficial Fix0.03CVE-2022-0524
01/01/20223.53.4date Gem Regular Expression Date.parse denial of servicedate GemNot DefinedOfficial Fix0.00CVE-2021-41817
09/28/20217.57.3Nokogiri SAX Parser PushParser xml external entity referenceNokogiriNot DefinedOfficial Fix0.03CVE-2021-41098
07/06/20215.35.1Addressable URI Template resource consumptionAddressableNot DefinedOfficial Fix0.03CVE-2021-32740
06/24/20213.73.6bindata Gem Bit100002 resource consumptionbindata GemNot DefinedOfficial Fix0.05CVE-2021-32823
06/11/20213.53.4actionpack Gem Action Controller authenticate_with_http_token resource consumptionactionpack GemNot DefinedOfficial Fix0.00CVE-2021-22904
06/11/20213.53.4actionpack Gem Mime Type Parser resource consumptionactionpack GemNot DefinedOfficial Fix0.03CVE-2021-22902
06/11/20215.55.3actionpack Gem Host Authorization Middleware redirectactionpack GemNot DefinedOfficial Fix0.04CVE-2021-22903
05/29/20216.36.0Mark Evans Dragonfly Gem argument injectionDragonfly GemNot DefinedOfficial Fix0.04CVE-2021-33564
05/12/20215.35.1Puma Connection resource consumptionPumaNot DefinedOfficial Fix0.04CVE-2021-29509
04/22/20214.64.4REXML Gem unknown vulnerabilityREXML GemNot DefinedOfficial Fix0.03CVE-2021-28965
02/09/20217.57.2CarrierWave manipulate code injectionCarrierWaveNot DefinedOfficial Fix0.03CVE-2021-21305
02/09/20216.36.0CarrierWave Download server-side request forgeryCarrierWaveNot DefinedOfficial Fix0.03CVE-2021-21288
01/07/20213.53.5actionpack Gem Developer Mode cross site scriptingactionpack GemNot DefinedNot Defined0.04CVE-2020-8264
12/31/20204.34.3Nokogiri Gem Schema server-side request forgeryNokogiri GemNot DefinedOfficial Fix0.03CVE-2020-26247
12/09/20207.37.0omniauth-apple Gem authentication spoofingomniauth-apple GemNot DefinedOfficial Fix0.04CVE-2020-26254
10/23/20207.37.0magento-lts Gem Product Attribute injectionmagento-lts GemNot DefinedOfficial Fix0.04CVE-2020-15244

77 more entries are not shown

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