Comparison Overview

Match

VS

Amazon Fulfillment Technologies & Robotics

Match

8750 N Central Expy, Dallas, Texas, 75231, US
Last Update: 2025-03-04 (UTC)
Between 800 and 900

Strong

Match pioneered the concept of online dating when we launched in 1995. Today, we're part of Match Group - a family of dozens of brands like Tinder and Hinge that are creating new ways to meet people, make friends, and build relationships that are fundamental to happiness. Millions of singles have found a meaningful connection using our products! HQโ€™d in Dallas, with offices in LA & NYC, Match is made up of teams from coast to coast. For three years in a row, weโ€™ve been recognized by the Dallas Morning News as a Top 100 Place to Work in Dallas. In 2022, over 5,000 companies competed for a spot in the Top 100 - this puts Match in the top 2% of companies to work for in DFW.

NAICS: 5112
NAICS Definition: Software Publishers
Employees: 916
Subsidiaries: 11
12-month incidents
0
Known data breaches
0
Attack type number
2

Amazon Fulfillment Technologies & Robotics

300 Riverpark Drive, North Reading, MA, 01864, US
Last Update: 2025-03-04 (UTC)

On the Fulfillment Technologies & Robotics Team, we build dynamic partnerships between people and intelligent machines. This intricate collaboration helps Amazon fulfill orders with unmatched accuracy. Since we began working with robotics, we've added over a million new jobs worldwide. Working in symphony with our robotic technology, employees have the opportunity to extend their technical capabilities by working alongside some of the industryโ€™s most advanced technologies. This includes our fleet of autonomous mobile robots, sophisticated control software, and technologies like language perception, machine learning, object recognition, and semantic understanding of commands. These technologies help employees deliver an ever-improving customer and employee experience, as well as improve the safety of our facilities. Explore opportunities across the entire Fulfillment Technologies & Robotics team to find the right fit for you.

NAICS: 5112
NAICS Definition: Software Publishers
Employees: 12,180
Subsidiaries: 89
12-month incidents
0
Known data breaches
4
Attack type number
4

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/match-com.jpeg
Match
โ€”
ISO 27001
Not verified
โ€”
SOC 2
Not verified
โ€”
GDPR
No public badge
โ€”
PCI DSS
No public badge
https://images.rankiteo.com/companyimages/kiva-systems.jpeg
Amazon Fulfillment Technologies & Robotics
โ€”
ISO 27001
Not verified
โ€”
SOC 2
Not verified
โ€”
GDPR
No public badge
โ€”
PCI DSS
No public badge
Compliance Summary
Match
100%
Compliance Rate
0/4 Standards Verified
Amazon Fulfillment Technologies & Robotics
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for Match in 2025.

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for Amazon Fulfillment Technologies & Robotics in 2025.

Incident History โ€” Match (X = Date, Y = Severity)

Match cyber incidents detection timeline including parent company and subsidiaries

Incident History โ€” Amazon Fulfillment Technologies & Robotics (X = Date, Y = Severity)

Amazon Fulfillment Technologies & Robotics cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/match-com.jpeg
Match
Incidents

Date Detected: 02/2017
Type:Data Leak
Attack Vector: Cloudbleed Security Flaw
Blog: Blog

Date Detected: 08/2015
Type:Cyber Attack
Attack Vector: Malicious Advertisement
Blog: Blog
https://images.rankiteo.com/companyimages/kiva-systems.jpeg
Amazon Fulfillment Technologies & Robotics
Incidents

Date Detected: 9/2025
Type:Cyber Attack
Attack Vector: Exposed Docker API, Misconfigured AWS EC2 Instances, Python Docker SDK
Motivation: Financial Gain, Disruption, Cybercrime-as-a-Service
Blog: Blog

Date Detected: 8/2025
Type:Vulnerability
Attack Vector: Insider Threat (Malicious or Accidental), Compromised AWS Credentials, Policy Manipulation
Motivation: Data Exfiltration, Unauthorized Data Access, Covert Persistence, Accidental Exposure
Blog: Blog

Date Detected: 7/2025
Type:Vulnerability
Attack Vector: Local Privilege Escalation
Motivation: Privilege Escalation
Blog: Blog

FAQ

Both Match company and Amazon Fulfillment Technologies & Robotics company demonstrate a comparable AI risk posture, with strong governance and monitoring frameworks in place.

Amazon Fulfillment Technologies & Robotics company has faced a higher number of disclosed cyber incidents historically compared to Match company.

In the current year, Amazon Fulfillment Technologies & Robotics company has reported more cyber incidents than Match company.

Neither Amazon Fulfillment Technologies & Robotics company nor Match company has reported experiencing a ransomware attack publicly.

Amazon Fulfillment Technologies & Robotics company has disclosed at least one data breach, while Match company has not reported such incidents publicly.

Both Amazon Fulfillment Technologies & Robotics company and Match company have reported experiencing targeted cyberattacks.

Amazon Fulfillment Technologies & Robotics company has disclosed at least one vulnerability, while Match company has not reported such incidents publicly.

Amazon Fulfillment Technologies & Robotics company has more subsidiaries worldwide compared to Match company.

Amazon Fulfillment Technologies & Robotics company employs more people globally than Match company, reflecting its scale as a Software Development.

Latest Global CVEs (Not Company-Specific)

Description

Mastra is a Typescript framework for building AI agents and assistants. Versions 0.13.8 through 0.13.20-alpha.0 are vulnerable to a Directory Traversal attack that results in the disclosure of directory listings. The code contains a security check to prevent path traversal for reading file contents, but this check is effectively bypassed by subsequent logic that attempts to find directory suggestions. An attacker can leverage this flaw to list the contents of arbitrary directories on the user's filesystem, including the user's home directory, exposing sensitive information about the file system's structure. This issue is fixed in version 0.13.20.

Risk Information
cvss3
Base: 6.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Description

KUNO CMS is a fully deployable full-stack blog application. Versions 1.3.13 and below contain validation flaws in its file upload functionality that can be exploited for stored XSS. The upload endpoint only validates file types based on Content-Type headers, lacks file content analysis and extension whitelist restrictions, allowing attackers to upload SVG files containing malicious scripts (disguised as images). When users access the uploaded resource pages, arbitrary JavaScript executes in their browsers. This issue is fixed in version 1.3.14.

Risk Information
cvss3
Base: 5.4
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N
Description

Minecraft RCON Terminal is a VS Code extension that streamlines Minecraft server management. Versions 0.1.0 through 2.0.6 stores passwords using VS Code's configuration API which writes to settings.json in plaintext. This issue is fixed in version 2.1.0.

Risk Information
cvss4
Base: 6.6
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:U/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Anyquery is an SQL query engine built on top of SQLite. Versions 0.4.3 and below allow attackers who have already gained access to localhost, even with low privileges, to use the http server through the port unauthenticated, and access private integration data like emails, without any warning of a foreign login from the provider. This issue is fixed in version 0.4.4.

Risk Information
cvss3
Base: 7.7
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
Description

DataChain is a Python-based AI-data warehouse for transforming and analyzing unstructured data. Versions 0.34.1 and below allow for deseriaization of untrusted data because of the way the DataChain library reads serialized objects from environment variables (such as DATACHAIN__METASTORE and DATACHAIN__WAREHOUSE) in the loader.py module. An attacker with the ability to set these environment variables can trigger code execution when the application loads. This issue is fixed in version 0.34.2.

Risk Information
cvss3
Base: 2.5
Severity: HIGH
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:N