Canva Vendor Cyber Rating & Cyber Score

canva.com
ISOSOC2 Type 1SOC2 Type 2PCI DSSHIPAAGDPR

We're a global online visual communications platform on a mission to empower the world to design. Featuring a simple drag-and-drop user interface and a vast range of templates ranging from presentations, documents, websites, social media graphics, posters, apparel to videos, plus a huge library of fonts, stock photography, illustrations, video footage, and audio clips, anyone can take an idea and create something beautiful on Canva on any device, from anywhere in the world. Since our launch in 2013, we’ve had the crazy big goal of making design accessible to everyone. We were founded on the belief that people shouldn't need to understand complex software to unlock their creativity. We’re leveling the playing field and democratizing access to design and visual communication by empowering 100% of the world to communicate in a way that was once limited to the 1%. We've always had a deeper mission surrounding Canva — which we talk about as our 'simple' two-step plan: to build one of the world’s most valuable companies, and to do the most good we possibly can. We're committed to our core value of Being a Force for Good, so as the value of our company grows, so too does our ability to have a positive impact on the world.

Canva A.I CyberSecurity Scoring

Canva

Company Details

Linkedin ID:

canva

Website:

http://www.canva.com

Employees number:

12,281

Number of followers:

2,424,997

NAICS:

5112

Industry Type:

Software Development

Homepage:

canva.com

IP Addresses:

Scan still pending

Company ID:

CAN_1761655

Scan Status:

In-progress

AI scoreCanva Risk Score (AI oriented)

Between 550 and 599

https://images.rankiteo.com/companyimages/canva.jpeg
Canva Software Development
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Canva Software Development
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Canva

Very Poor
Current Score
571
Ca (Very Poor)
01000
5 incidents
-50.0 avg impact

Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.

APRIL 2026
571
MARCH 2026
567
FEBRUARY 2026
564
JANUARY 2026
561
DECEMBER 2025
575
Cyber Attack
28 Dec 2025 • Canva, Adyen, Atlassian, HubSpot, Epic Games, Moderna, GameStop, ZoomInfo, WeWork, Halliburton, Betterment, Sonos and Telstra: Over 100 Organizations Targeted in ShinyHunters Phishing Campaign
ShinyHunters-Linked Cybercrime Campaign Targets Over 100 Major Organizations

**ShinyHunters-Linked Cybercrime Campaign Targets Over 100 Major Organizations** A recent cybercrime campaign attributed to the ShinyHunters group has targeted at least 100 organizations across multiple sectors, including software, finance, healthcare, and energy, according to cybersecurity firm Silent Push. Over the past 30 days, threat actors registered fake domains impersonating high-profile companies such as Atlassian, Adyen, Canva, Epic Games, HubSpot, Moderna, ZoomInfo, GameStop, WeWork, Halliburton, Sonos, and Telstra. The attackers employed voice phishing (vishing) tactics to compromise single sign-on (SSO) accounts, particularly those using Okta and other identity platforms. Using specialized phishing kits, they intercepted credentials and manipulated victims into bypassing multi-factor authentication (MFA) by convincing them to approve push notifications or submit one-time passcodes (OTPs). Okta described the attacks as involving real-time session orchestration, where threat actors guided victims through the authentication process via verbal instructions. While Silent Push identified the infrastructure used in the campaign, it remains unclear whether the attacks successfully breached any systems. However, ShinyHunters has claimed responsibility for data breaches at companies like Betterment, Crunchbase, and SoundCloud, all of which confirmed incidents. The group allegedly stole millions of records from these organizations as part of the Okta SSO vishing campaign. Silent Push attributes the campaign to **Scattered LAPSUS$ Hunters**, a collective formed last year by members of Lapsus$, Scattered Spider, and ShinyHunters, based on observed tactics, techniques, and procedures (TTPs). The incident follows recent warnings from Google and others about rising vishing and phishing attacks targeting identity platforms.

556
critical -19
CANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593
Incident Details -
Type
Phishing (Vishing), Data Breach, Credential Theft
Attack Vector
Voice Phishing (Vishing), Phishing Kits, MFA Bypass (Push Notifications, OTPs)
Vulnerability Exploited
Single Sign-On (SSO) accounts (Okta and other identity platforms), MFA manipulation
Motivation
Data Theft, Financial Gain, Credential Harvesting
Impact
Data Compromised: Millions of records allegedly stolen Systems Affected: SSO accounts (Okta and other identity platforms) Identity Theft Risk: High (PII and credentials compromised)
Response
Third Party Assistance: Silent Push (cybersecurity firm)
Data Breach
Type Of Data Compromised: Personally Identifiable Information (PII), Credentials, Business Data Number Of Records Exposed: Millions (alleged) Sensitivity Of Data: High (PII, credentials) Data Exfiltration: Alleged (data sold on dark web) Personally Identifiable Information: Yes
Investigation Status
['Ongoing (infrastructure identified, breach success unclear)']
Initial Access Broker
Entry Point: Fake domains impersonating high-profile companies, SSO accounts (Okta) Reconnaissance Period: 30 days (domain registration) High Value Targets: SSO accounts, MFA-protected systems Data Sold On Dark Web: Alleged
Post Incident Analysis
Root Causes: Vishing attacks, MFA manipulation, phishing kits, lack of awareness
References
Blog URL Source URL
NOVEMBER 2025
668
OCTOBER 2025
566
SEPTEMBER 2025
644
Breach
23 Sep 2025 • Canva
Hardcoded Secrets Crisis and Workforce Reduction Impact on Cybersecurity

Canva experienced a critical security incident caused by a **leaked hardcoded secret**, leading to **days of downtime across multiple engineering teams**. The breach diverted critical resources—originally allocated for product development—toward incident containment and remediation. The exposed secret enabled potential lateral movement risks, though no large-scale data exfiltration was publicly confirmed. The financial and operational impact included **lost productivity, delayed projects, and reputational harm**, compounded by the strain on an already lean security team. The incident highlights the cascading effects of unmanaged credentials in modern DevOps environments, where a single exposed API key or token can disrupt core business functions. While no customer data leak was reported, the operational outage aligned with high-severity internal disruptions, reinforcing the cost of credential mismanagement in scaled-down organizations.

561
high -83
CAN5593155092325
Incident Details -
Type
Credential Theft Hardcoded Secrets Exposure Supply Chain Compromise Data Breach
Attack Vector
Compromised Credentials Hardcoded Secrets in Code/Repositories GitHub Action Token Theft Lateral Movement via Exposed API Keys
Vulnerability Exploited
Hardcoded Secrets in Code Repositories Unmanaged Secrets in CI/CD Pipelines Lack of Automated Secrets Rotation Insufficient Access Controls for High-Risk Secrets
Motivation
Financial Gain (via Ransomware/Extortion) Data Exfiltration for Dark Web Sales Supply Chain Disruption
Impact
Financial Loss: $10.22 million (avg. U.S. breach cost); $11+ million with hardcoded secrets; $1.4 million annual waste on manual secrets management API Keys Tokens Production Access Credentials GitHub Actions Tokens Nx Package Credentials Code Repositories (GitHub, etc.) CI/CD Pipelines Slack/Jira/Collaboration Platforms Private Repositories (82,901 exposed) Production Environments Multi-day outages (e.g., Canva) Engineering resource diversion from product development Prolonged mean-time-to-remediate (292 days avg.) Context-switching overhead for lean teams Multi-team coordination delays for secrets remediation Erosion of trust due to preventable breaches Negative perception of 'lean operations' prioritizing cost-cutting over security Regulatory fines (driving breach costs to $10.22M) Potential lawsuits from exposed PII or sensitive data High (via exposed PII or credentials) 82,901 secrets exposed in s1ngularity attack
Response
GitGuardian (secrets detection/remediation) HashiCorp (research on credential-based breaches) Proactive scanning for hardcoded secrets Automated secret revocation Contextual ownership assignment Workflow-integrated remediation (e.g., PR fixes in version control) Automated credential rotation Precision targeting of exposed secrets Reduction of manual investigation time ($936K annual savings) Elimination of false positives ($500K annual savings) Real-time remediation tracking Threat scope analysis for exposed secrets
Data Breach
API Keys Tokens GitHub Actions Secrets Production Access Credentials Nx Package Credentials Number Of Records Exposed: 82,901 (s1ngularity attack); 2,349 (initial Nx compromise) Sensitivity Of Data: High (40% of secrets provide direct production access) Credentials sold on dark web (potential) Private repository exposure Code repositories CI/CD configuration files Collaboration platform logs Personally Identifiable Information: Potential (via exposed credentials)
Regulatory Compliance
Fines Imposed: Contributed to $10.22M avg. breach cost (U.S.)
Lessons Learned
Workforce reductions amplify cybersecurity risks by stretching lean teams and prolonging remediation times. Hardcoded secrets in code repositories/CI/CD pipelines are a critical blind spot, enabling cascading supply chain attacks. Manual secrets management is unsustainable, wasting $1.4M annually and delaying incident response. Detection alone is insufficient; remediation requires contextual ownership, infrastructure awareness, and workflow integration. Automated tools (e.g., GitGuardian) can reduce remediation time from weeks to hours by pinpointing exposed secrets and assigning ownership.
Recommendations
Implement **proactive scanning** for hardcoded secrets during code commits and in existing repositories. Assign **clear ownership** for each secret to eliminate remediation delays. Integrate remediation workflows into **developer tools** (e.g., automated PR fixes) to reduce context-switching. Prioritize **high-risk secrets** (40% of exposed credentials provide production access). Adopt **automated credential rotation** to mitigate the impact of leaked secrets. Shift from reactive firefighting to **precision remediation** with contextual threat scope analysis. Quantify the **ROI of smart remediation** (e.g., $1.4M annual savings from reduced manual effort). Advocate for **security resource alignment** with AI-driven efficiency initiatives to avoid critical gaps.
Investigation Status
Ongoing (industry-wide trend analysis)
Customer Advisories
Monitor for notifications from affected platforms (e.g., GitHub, Canva). Rotate credentials if potentially exposed in supply chain incidents.
Stakeholder Advisories
CISOs: Advocate for secrets management tools to offset lean team risks. Developers: Adopt workflow-integrated remediation to reduce overhead. Executives: Balance 'doing more with less' with cybersecurity resource allocation.
Initial Access Broker
Compromised GitHub Action tokens Hardcoded secrets in public/private repositories Lateral movement via exposed API keys Supply chain compromise (e.g., Nx packages) Production environments CI/CD pipelines Private repositories Data Sold On Dark Web: Likely (based on credential theft patterns)
Post Incident Analysis
Underinvestment in secrets management amid workforce reductions. Overreliance on manual processes for credential rotation/exposure investigation. Lack of contextual ownership for remediation (multi-team coordination delays). Proliferation of unmanaged secrets across collaboration platforms (Slack, Jira). False positives overwhelming security teams ($500K annual cost). Deploy **automated secrets detection/remediation platforms** (e.g., GitGuardian). Embed remediation guidance into **developer workflows** (e.g., IDE plugins, PR comments). Establish **cross-team playbooks** for high-risk secret incidents. Prioritize **preventive scanning** in CI/CD pipelines to block secrets at commit. Measure and report **cost savings** from reduced manual effort ($1.4M/year potential).
References
Blog URL Source URL
AUGUST 2025
641
JULY 2025
638
JUNE 2025
681
Breach
09 Jun 2025 • Canva
Chroma Database Exposure at My Jedai

A Chroma database operated by Russian AI chatbot startup My Jedai was found exposed online, leaking survey responses from over 500 Canva Creators. The exposed data included email addresses, feedback on Canva’s Creator Program, and personal insights into the experiences of designers across more than a dozen countries. The data exposure was discovered by cybersecurity firm UpGuard, which confirmed the database was publicly accessible and lacked authentication.

633
critical -48
CAN900060925
Incident Details -
Type
Data Exposure
Attack Vector
Unsecured Database
Vulnerability Exploited
Lack of Authentication
Impact
Email addresses Survey responses Chroma Database
Response
Secured the exposed database Notified affected Creators Notified regulators
Data Breach
Email addresses Survey responses Sensitivity Of Data: Moderate
Lessons Learned
The incident highlights the need for proper configuration and security measures when using AI technologies to prevent data exposure.
Post Incident Analysis
Root Causes: Lack of authentication and proper configuration of the Chroma database
References
Blog URL Source URL
MAY 2025
681
JANUARY 2025
786
Breach
01 Jan 2025 • Tencent, MySpace, Twitter, Weibo, Canva, Adobe, Deezer, AdultFriendFinder, U.S. Government and Brazil Government: The 12-Terabyte Ghost: How a Record-Shattering Data Leak Is Arming a New Generation of Cyberattacks
Mother of All Breaches (MOAB)

**The "Mother of All Breaches": 26 Billion Records Exposed in Unprecedented Data Leak** Security researchers have uncovered what may be the largest compilation of stolen credentials in history a 12-terabyte database dubbed the **"Mother of All Breaches" (MOAB)**, containing **26 billion records** from thousands of prior data leaks. Discovered by researcher **Bob Dyachenko** of *SecurityDiscovery.com* in collaboration with *Cybernews*, the dataset was found on an open, publicly accessible server, though its owner remains unknown. Unlike a single hack, the MOAB is a **"compilation of breaches" (COB)**, aggregating credentials from major platforms, including: - **1.5 billion records** from *Tencent* - **504 million** from *Weibo* - **360 million** from *MySpace* - **281 million** from *Twitter (X)* - Millions more from *LinkedIn, Adobe, Canva, Deezer, AdultFriendFinder*, and others The dataset also includes records from **government organizations** in the U.S., Brazil, Germany, the Philippines, and Turkey, amplifying risks for both individuals and enterprises. ### **Why This Breach Is a Game-Changer** The MOAB’s danger lies in its **consolidation and accessibility**. Instead of scattered leaks, attackers now have a **single, searchable repository** for credential stuffing, phishing, and targeted attacks. While many passwords are outdated, the sheer volume ensures some will still work especially given widespread **password reuse**. Worse, experts warn the dataset may include **fresh data from infostealer malware**, which harvests current credentials, browser cookies, and autofill details. This hybrid threat combining historical breaches with live infections creates a **highly effective tool for cybercriminals**, from low-level fraudsters to **initial access brokers (IABs)** selling corporate network access to ransomware gangs. ### **The Fallout: A New Era of Cyber Risk** The MOAB’s impact extends beyond individuals. **Corporate and government networks** are at heightened risk due to employees reusing passwords across personal and work accounts. A single compromised credential could provide attackers with a **foothold for devastating intrusions**. Security experts emphasize that **password-only authentication is now obsolete** against such a vast dataset. The breach underscores the urgent need for **multi-factor authentication (MFA)**, particularly **phishing-resistant methods** like FIDO2 security keys. Continuous monitoring of credentials against breach databases is also critical. With the data now in the wild, the MOAB will fuel cyberattacks for years, marking a **sobering shift in the threat landscape**. The leak serves as a stark reminder: **once exposed, data never truly disappears it only becomes more dangerous.**

668
critical -118
TENMYSTWITENCANADODEEFRIUNIBRA1769520245
Incident Details -
Type
Data Breach
Attack Vector
Compilation of Breaches (COB)
Motivation
Credential harvesting, cybercrime, initial access brokerage
Impact
Data Compromised: 26 billion records Operational Impact: Heightened risk of credential stuffing, phishing, and targeted attacks Brand Reputation Impact: Potential reputational damage for affected platforms Identity Theft Risk: High
Response
Enhanced Monitoring: Recommended
Data Breach
Type Of Data Compromised: Credentials, personally identifiable information, browser cookies, autofill details Number Of Records Exposed: 26 billion Sensitivity Of Data: High (includes PII, government data, and potential fresh infostealer malware data) Personally Identifiable Information: Yes
Lessons Learned
Password-only authentication is obsolete against large-scale credential dumps. Multi-factor authentication (MFA), especially phishing-resistant methods like FIDO2 security keys, is critical. Continuous monitoring of credentials against breach databases is essential.
Recommendations
Implement multi-factor authentication (MFA), preferably phishing-resistant methods like FIDO2 security keys. Monitor credentials against breach databases continuously. Educate users on password hygiene and the risks of password reuse.
Investigation Status
['Ongoing (owner of the dataset unknown)']
Initial Access Broker
High Value Targets: Corporate and government networks Data Sold On Dark Web: Potential (dataset may include fresh infostealer malware data)
Post Incident Analysis
Root Causes: Aggregation of historical breaches, potential inclusion of fresh infostealer malware data, and widespread password reuse Corrective Actions: Adoption of MFA, continuous credential monitoring, and user education on password security
References
Blog URL Source URL
MAY 2019
805
Breach
01 May 2019 • Canva
Canva Data Breach

In May 2019, Australian unicorn Canva experienced a substantial data breach, impacting 137 million users. A cybercriminal known as Gnosticplayers managed to breach Canva's security defenses but was detected by Canva's system monitoring for malicious activities. Despite the quick intervention, the hacker had already accessed a wealth of user data, including usernames, real names, email addresses, country of origin, encrypted passwords, and partial payment data. This breach was notable not only for its scale but also because the attacker chose to publicize the breach in a communication with ZDNet, diverging from the usual practice of keeping a low profile on dark web forums. Canva responded by notifying affected users, particularly those with decrypted passwords, advising them to change their passwords. Additionally, Canva reset passwords for users who hadn't updated theirs in the past six months, demonstrating the company's proactive stance on user security post-incident.

738
critical -67
CAN554042824
Incident Details -
Type
Data Breach
Impact
usernames real names email addresses country of origin encrypted passwords partial payment data
Response
password reset for users with decrypted passwords password reset for users who hadn't updated theirs in the past six months notifying affected users advising users to change their passwords
Data Breach
usernames real names email addresses country of origin encrypted passwords partial payment data usernames real names email addresses country of origin
References
Blog URL Source URL

Frequently Asked Questions

According to Rankiteo, the current A.I.-based Cyber Score for Canva is 571, which corresponds to a Very Poor rating.

According to Rankiteo, the A.I. Rankiteo Cyber Score for March 2026 was 567.

According to Rankiteo, the A.I. Rankiteo Cyber Score for February 2026 was 564.

According to Rankiteo, the A.I. Rankiteo Cyber Score for January 2026 was 561.

According to Rankiteo, the A.I. Rankiteo Cyber Score for December 2025 was 575.

According to Rankiteo, the A.I. Rankiteo Cyber Score for November 2025 was 668.

According to Rankiteo, the A.I. Rankiteo Cyber Score for October 2025 was 566.

According to Rankiteo, the A.I. Rankiteo Cyber Score for September 2025 was 644.

According to Rankiteo, the A.I. Rankiteo Cyber Score for August 2025 was 641.

According to Rankiteo, the A.I. Rankiteo Cyber Score for July 2025 was 638.

According to Rankiteo, the A.I. Rankiteo Cyber Score for June 2025 was 681.

According to Rankiteo, the A.I. Rankiteo Cyber Score for May 2025 was 681.

Over the past 12 months, the average per-incident point impact on Canva’s A.I Rankiteo Cyber Score has been -50.0 points.

You can access Canva’s cyber incident details on Rankiteo by visiting the following link: https://www.rankiteo.com/company/canva.

You can find the summary of the A.I Rankiteo Risk Scoring methodology on Rankiteo by visiting the following link: Rankiteo Algorithm.

You can view Canva’s profile page on Rankiteo by visiting the following link: https://www.rankiteo.com/company/canva.

With scores of 18.5/20 from OpenAI ChatGPT, 20/20 from Mistral AI, and 17/20 from Claude AI, the A.I. Rankiteo Risk Scoring methodology is validated as a market leader.