Agoda
Company Details
Linkedin ID:
agoda
Website:
Employees number:
14,577
Number of followers:
672,609
NAICS:
5112
Industry Type:
Homepage:
careersatagoda.com
IP Addresses:
0
Company ID:
AGO_2316008
Scan Status:
In-progress
Agoda Company CyberSecurity Posture
careersatagoda.com
At Agoda, we bridge the world through travel. We aim to make it easy and rewarding for more travelers to explore and experience the amazing world we live in. We do so by enabling more people to see the world for less – with our best-value deals across our 4,700,000+ hotels and holiday properties, 130,000+ flight routes, 300,000+ activities, and more. Agoda was founded in 2005 in Thailand by two lifelong friends with a shared passion for travel. Today, Agoda is part of Booking Holdings [BKNG], and we have more than 7,000 employees from 90 nationalities in offices across Asia Pacific, the Middle East, Europe, and the Americas. In every department – from engineering to customer support – you’ll find that data and technology are at the heart of our culture. There’s never a boring day at Agoda as we aim to make travel hassle-free for everyone. If you’re ready to begin your best journey with us and help us build travel for the world, join us. For properties seeking partnership with Agoda, visit https://connect.agoda.com
Agoda A.I CyberSecurity Scoring
Agoda Risk Score (AI oriented)Between 750 and 799
Agoda
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
Agoda Global Score (TPRM)XXXX
Agoda
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Agoda Company CyberSecurity News & History
Past Incidents
3
Attack Types
1
Booking.com
Cyber Attack
Rankiteo Explanation
Attack limited on finance or reputation
Description: The rise of clandestine 'travel agencies' on darknet forums has led to significant financial losses for travel and hospitality industries. These agencies sell fraudulently booked flights, hotels, and other services at discounted rates, starting with credential theft and ending with fraudulent bookings. Airlines lose seat inventory, hotels absorb charge-backs, and travelers face drained reward balances. Trustwave reported one agency processed over 2,000 bookings in Q1 2025, netting $1.4 million in illicit revenue.
Booking.com
Cyber Attack
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: The **ClickFix phishing campaign** targeted **Booking.com** and its affiliated hotels by exploiting compromised accounts to distribute **PureRAT malware** via phishing emails and WhatsApp messages. Attackers purchased stolen **Booking.com administrator credentials** from dark web forums (e.g., LolzTeam) to craft convincing scams. Victims—both hotels and guests—were lured into fake **Booking/Expedia login pages**, where their **login credentials and payment card data** were harvested. The malware (**PureRAT**) enabled remote access, keystroke logging, and surveillance via webcam/microphone, allowing attackers to map hotel customer databases for further fraud. Fraudulent wire transactions were also executed using stolen data. The campaign, active since at least **April 2025**, leveraged real reservation details to enhance credibility, amplifying financial and reputational damage. While the exact scale of compromise remains undisclosed, the attack disrupted trust in Booking.com’s platform, exposed sensitive customer financial data, and enabled downstream fraud against hotels and guests.
Booking.com
Cyber Attack
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: A large-scale phishing campaign orchestrated by Russian threat actors has targeted **Booking.com** since February, involving the registration of over **4,300 fraudulent domains** mimicking legitimate booking and rental platforms like Expedia and Agoda. The attack specifically aimed to deceive hotel guests into divulging their **payment details**, including credit card information, bank account credentials, and personal identification data. By impersonating trusted booking services, the threat actors exploited user trust to harvest sensitive financial information, leading to potential **fraudulent transactions, identity theft, and financial losses** for affected customers. The scale of the operation suggests a systematic effort to compromise a high volume of users, leveraging social engineering tactics to bypass traditional security measures. While the exact number of victims remains undisclosed, the prolonged duration of the campaign (since February) indicates a sustained and evolving threat, with potential long-term reputational damage to Booking.com due to eroded customer confidence in its platform’s security.
Agoda Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for Agoda
Incidents vs Software Development Industry Average (This Year)
No incidents recorded for Agoda in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Agoda in 2025.
Incident Types Agoda vs Software Development Industry Avg (This Year)
No incidents recorded for Agoda in 2025.
Incident History — Agoda (X = Date, Y = Severity)
Agoda cyber incidents detection timeline including parent company and subsidiaries
Agoda Company Subsidiaries
At Agoda, we bridge the world through travel. We aim to make it easy and rewarding for more travelers to explore and experience the amazing world we live in. We do so by enabling more people to see the world for less – with our best-value deals across our 4,700,000+ hotels and holiday properties, 130,000+ flight routes, 300,000+ activities, and more. Agoda was founded in 2005 in Thailand by two lifelong friends with a shared passion for travel. Today, Agoda is part of Booking Holdings [BKNG], and we have more than 7,000 employees from 90 nationalities in offices across Asia Pacific, the Middle East, Europe, and the Americas. In every department – from engineering to customer support – you’ll find that data and technology are at the heart of our culture. There’s never a boring day at Agoda as we aim to make travel hassle-free for everyone. If you’re ready to begin your best journey with us and help us build travel for the world, join us. For properties seeking partnership with Agoda, visit https://connect.agoda.com
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Agoda CyberSecurity History Information
Official Website of Agoda
The official website of Agoda is http://careersatagoda.com/.
Agoda’s AI-Generated Cybersecurity Score
According to Rankiteo, Agoda’s AI-generated cybersecurity score is 790, reflecting their Fair security posture.
How many security badges does Agoda’ have ?
According to Rankiteo, Agoda currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Agoda have SOC 2 Type 1 certification ?
According to Rankiteo, Agoda is not certified under SOC 2 Type 1.
Does Agoda have SOC 2 Type 2 certification ?
According to Rankiteo, Agoda does not hold a SOC 2 Type 2 certification.
Does Agoda comply with GDPR ?
According to Rankiteo, Agoda is not listed as GDPR compliant.
Does Agoda have PCI DSS certification ?
According to Rankiteo, Agoda does not currently maintain PCI DSS compliance.
Does Agoda comply with HIPAA ?
According to Rankiteo, Agoda is not compliant with HIPAA regulations.
Does Agoda have ISO 27001 certification ?
According to Rankiteo,Agoda is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Agoda
Agoda operates primarily in the Software Development industry.
Number of Employees at Agoda
Agoda employs approximately 14,577 people worldwide.
Subsidiaries Owned by Agoda
Agoda presently has no subsidiaries across any sectors.
Agoda’s LinkedIn Followers
Agoda’s official LinkedIn profile has approximately 672,609 followers.
NAICS Classification of Agoda
Agoda is classified under the NAICS code 5112, which corresponds to Software Publishers.
Agoda’s Presence on Crunchbase
No, Agoda does not have a profile on Crunchbase.
Agoda’s Presence on LinkedIn
Yes, Agoda maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/agoda.
Cybersecurity Incidents Involving Agoda
As of November 27, 2025, Rankiteo reports that Agoda has experienced 3 cybersecurity incidents.
Number of Peer and Competitor Companies
Agoda has an estimated 26,594 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Agoda ?
Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack.
What was the total financial impact of these incidents on Agoda ?
Total Financial Loss: The total financial loss from these incidents is estimated to be $0.
How does Agoda detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with geo-fenced mfa on loyalty portals, containment measures with velocity limits tied to device-id, containment measures with dark-web telemetry that flags brand mentions, and third party assistance with sekoia (cybersecurity research)..
Incident Details
Can you provide details on each incident ?
Title: Dark Web Travel Agency Fraud
Description: The rise of clandestine travel agencies on darknet forums has led to a full-fledged service economy that sells half-priced flights, five-star hotels, and even yacht charters using stolen credentials and fraudulent bookings.
Type: Fraud
Attack Vector: Mass-phishingInfostealer trojans
Vulnerability Exploited: Credential theft, Stolen payment tokens
Threat Actor: Dark web travel agencies
Motivation: Financial gain
Title: ClickFix phishing campaign targets hotels and guests with PureRAT malware
Description: Attackers exploit compromised Booking.com accounts and sell stolen credentials on dark web forums. Guests are tricked into fake Booking/Expedia sites, losing login and payment card data. Hotels and their guests are targeted by a sophisticated ClickFix campaign delivering PureRAT malware, stealing credentials, and enabling fraudulent wire transactions. The campaign involves phishing emails, fake reCAPTCHA challenges, and personalized WhatsApp messages with real reservation details to deceive victims. PureRAT grants remote access, keystroke logging, and data exfiltration capabilities. The campaign has been active since at least April 2025 and remains operational as of early October 2025.
Date Publicly Disclosed: 2025-10-01
Type: phishing
Attack Vector: compromised email accountsphishing linksfake reCAPTCHA challengemalware download (PureRAT)personalized WhatsApp messagesfake Booking/Expedia websites
Vulnerability Exploited: human trust (social engineering)compromised Booking.com accountslack of multi-factor authentication (MFA)
Motivation: financial gaindata theftfraudulent transactions
Title: Phishing Campaign Targeting Booking and Rental Services by Russian Threat Actors
Description: More than 4,300 domains have been registered by Russian threat actors to impersonate widely known booking and rental services, such as Booking.com, Expedia, and Agoda, as part of a phishing campaign that has sought to pilfer hotel guests' payment details since February 2025.
Date Publicly Disclosed: 2025-11-14
Type: phishing
Attack Vector: malicious domain registrationsocial engineeringphishing emails/websites
Threat Actor: Russian threat actors
Motivation: financial gaintheft of payment details
What are the most common types of attacks the company has faced ?
Common Attack Types: The most common types of attacks the company has faced is Cyber Attack.
How does the company identify the attack vectors used in incidents ?
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Mass-phishing, Infostealer trojans, compromised Booking.com accountspurchased administrator contact info from dark web and phishing domains impersonating booking services.
Impact of the Incidents
What was the impact of each incident ?
Incident : Fraud BOO948072325
Financial Loss: Airlines lose seat inventory, hotels absorb charge-backs, travelers face drained reward balances
Systems Affected: Booking systems, payment gateways
Payment Information Risk: High
Incident : phishing BOO1502015111225
Data Compromised: Login credentials, Payment card data, Reservation details
Brand Reputation Impact: potential loss of trust in Booking.com and affected hotels
Identity Theft Risk: ['high (due to stolen credentials and payment data)']
Payment Information Risk: ['high (credit card data stolen)']
Incident : phishing BOO2764127111725
Data Compromised: Payment details
Brand Reputation Impact: potential reputational damage to Booking.com, Expedia, Agoda, and other impersonated brands
Identity Theft Risk: ['high (due to stolen payment details)']
Payment Information Risk: ['high (primary target of the campaign)']
What is the average financial loss per incident ?
Average Financial Loss: The average financial loss per incident is $0.00.
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Loyalty credentials, Payment tokens, Login Credentials, Payment Card Information, Reservation Details, , Payment Details and .
Which entities were affected by each incident ?
Incident : Fraud BOO948072325
Entity Type: Airlines, Hotels, Travel Agencies
Industry: Travel and Hospitality
Incident : phishing BOO1502015111225
Entity Name: Booking.com
Entity Type: Online Travel Agency (OTA)
Industry: Hospitality/Travel
Location: Global
Incident : phishing BOO1502015111225
Entity Name: Expedia
Entity Type: Online Travel Agency (OTA)
Industry: Hospitality/Travel
Location: Global
Incident : phishing BOO1502015111225
Entity Name: Unspecified Hotels
Entity Type: Hospitality Business
Industry: Hospitality
Location: Global
Incident : phishing BOO1502015111225
Entity Name: Hotel Guests
Entity Type: Individual Consumers
Location: Global
Incident : phishing BOO2764127111725
Entity Name: Booking.com
Entity Type: company
Industry: travel/booking services
Location: global
Incident : phishing BOO2764127111725
Entity Name: Expedia
Entity Type: company
Industry: travel/booking services
Location: global
Incident : phishing BOO2764127111725
Entity Name: Agoda
Entity Type: company
Industry: travel/booking services
Location: global
Incident : phishing BOO2764127111725
Entity Name: Hotel guests (unspecified hotels)
Entity Type: individuals
Location: global
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Fraud BOO948072325
Containment Measures: Geo-fenced MFA on loyalty portalsVelocity limits tied to device-IDDark-web telemetry that flags brand mentions
Incident : phishing BOO1502015111225
Third Party Assistance: Sekoia (Cybersecurity Research).
How does the company involve third-party assistance in incident response ?
Third-Party Assistance: The company involves third-party assistance in incident response through Sekoia (cybersecurity research), .
Data Breach Information
What type of data was compromised in each breach ?
Incident : Fraud BOO948072325
Type of Data Compromised: Loyalty credentials, Payment tokens
Sensitivity of Data: High
Incident : phishing BOO1502015111225
Type of Data Compromised: Login credentials, Payment card information, Reservation details
Sensitivity of Data: high (financial and personal data)
Data Exfiltration: credentials sold on dark web forums (e.g., LolzTeam)
Personally Identifiable Information: potentially included (names, contact details, payment info)
Incident : phishing BOO2764127111725
Type of Data Compromised: Payment details
Sensitivity of Data: high
Data Exfiltration: likely (payment details stolen)
Personally Identifiable Information: potentially (linked to payment details)
How does the company handle incidents involving personally identifiable information (PII) ?
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by geo-fenced mfa on loyalty portals, velocity limits tied to device-id, dark-web telemetry that flags brand mentions and .
Lessons Learned and Recommendations
What lessons were learned from each incident ?
Incident : Fraud BOO948072325
Lessons Learned: Layered countermeasures are effective at disrupting high-speed fraud loops
What recommendations were made to prevent future incidents ?
Incident : Fraud BOO948072325
Recommendations: Implement geo-fenced MFA on loyalty portals, velocity limits tied to device-ID, and dark-web telemetry that flags brand mentions
What are the key lessons learned from past incidents ?
Key Lessons Learned: The key lessons learned from past incidents are Layered countermeasures are effective at disrupting high-speed fraud loops.
What recommendations has the company implemented to improve cybersecurity ?
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Implement geo-fenced MFA on loyalty portals, velocity limits tied to device-ID and and dark-web telemetry that flags brand mentions.
References
Where can I find more information about each incident ?
Incident : Fraud BOO948072325
Source: Trustwave
Incident : phishing BOO1502015111225
Source: TechRadar Pro
Incident : phishing BOO1502015111225
Source: Sekoia Cybersecurity Research
Where can stakeholders find additional resources on cybersecurity best practices ?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Trustwave, and Source: TechRadar Pro, and Source: Sekoia Cybersecurity Research, and Source: The Hacker NewsDate Accessed: 2025-11-14.
Investigation Status
What is the current status of the investigation for each incident ?
Incident : phishing BOO1502015111225
Investigation Status: Ongoing (as of October 2025)
Incident : phishing BOO2764127111725
Investigation Status: ongoing (as of disclosure date)
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : Fraud BOO948072325
Entry Point: Mass-phishing, Infostealer trojans
High Value Targets: Loyalty credentials, Payment tokens
Data Sold on Dark Web: Loyalty credentials, Payment tokens
Incident : phishing BOO1502015111225
Entry Point: Compromised Booking.Com Accounts, Purchased Administrator Contact Info From Dark Web,
Backdoors Established: ['PureRAT malware']
High Value Targets: Hotel Administrators, Booking.Com Account Holders, Hotel Guests,
Data Sold on Dark Web: Hotel Administrators, Booking.Com Account Holders, Hotel Guests,
Incident : phishing BOO2764127111725
Entry Point: Phishing Domains Impersonating Booking Services,
Reconnaissance Period: ['since at least February 2025']
High Value Targets: Hotel Guests' Payment Details,
Data Sold on Dark Web: Hotel Guests' Payment Details,
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident ?
Incident : Fraud BOO948072325
Root Causes: Credential theft, Stolen payment tokens
Corrective Actions: Implement layered countermeasures
Incident : phishing BOO1502015111225
Root Causes: Successful Phishing Attacks, Lack Of Mfa On Booking.Com Accounts, Trust In Legitimate-Looking Communications,
What is the company's process for conducting post-incident analysis ?
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Sekoia (Cybersecurity Research), .
What corrective actions has the company taken based on post-incident analysis ?
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Implement layered countermeasures.
Additional Questions
General Information
Who was the attacking group in the last incident ?
Last Attacking Group: The attacking group in the last incident were an Dark web travel agencies and Russian threat actors.
Incident Details
What was the most recent incident publicly disclosed ?
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2025-11-14.
Impact of the Incidents
What was the highest financial loss from an incident ?
Highest Financial Loss: The highest financial loss from an incident was Airlines lose seat inventory, hotels absorb charge-backs, travelers face drained reward balances.
What was the most significant data compromised in an incident ?
Most Significant Data Compromised: The most significant data compromised in an incident were login credentials, payment card data, reservation details, , payment details and .
Response to the Incidents
What third-party assistance was involved in the most recent incident ?
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was sekoia (cybersecurity research), .
What containment measures were taken in the most recent incident ?
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident was Geo-fenced MFA on loyalty portalsVelocity limits tied to device-IDDark-web telemetry that flags brand mentions.
Data Breach Information
What was the most sensitive data compromised in a breach ?
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were payment details, payment card data, reservation details and login credentials.
Lessons Learned and Recommendations
What was the most significant lesson learned from past incidents ?
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Layered countermeasures are effective at disrupting high-speed fraud loops.
What was the most significant recommendation implemented to improve cybersecurity ?
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Implement geo-fenced MFA on loyalty portals, velocity limits tied to device-ID and and dark-web telemetry that flags brand mentions.
References
What is the most recent source of information about an incident ?
Most Recent Source: The most recent source of information about an incident are Sekoia Cybersecurity Research, Trustwave, TechRadar Pro and The Hacker News.
Investigation Status
What is the current status of the most recent investigation ?
Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing (as of October 2025).
Initial Access Broker
What was the most recent entry point used by an initial access broker ?
Most Recent Entry Point: The most recent entry point used by an initial access broker were an Mass-phishing and Infostealer trojans.
What was the most recent reconnaissance period for an incident ?
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was since at least February 2025.
Post-Incident Analysis
What was the most significant root cause identified in post-incident analysis ?
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Credential theft, Stolen payment tokens, successful phishing attackslack of MFA on Booking.com accountstrust in legitimate-looking communications.
What was the most significant corrective action taken based on post-incident analysis ?
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Implement layered countermeasures.
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Latest Global CVEs (Not Company-Specific)
Description
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/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
References
- https://github.com/angular/angular/commit/0276479e7d0e280e0f8d26fa567d3b7aa97a516f
- https://github.com/angular/angular/commit/05fe6686a97fa0bcd3cf157805b3612033f975bc
- https://github.com/angular/angular/commit/3240d856d942727372a705252f7c8c115394a41e
- https://github.com/angular/angular/releases/tag/19.2.16
- https://github.com/angular/angular/releases/tag/20.3.14
- https://github.com/angular/angular/releases/tag/21.0.1
- https://github.com/angular/angular/security/advisories/GHSA-58c5-g7wp-6w37
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/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
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/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
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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RapidWhat Do We Measure ?
Incident
Finding
Grade
Digital Assets
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Network Security
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
SBOM (Software Bill of Materials)
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
CMDB (Configuration Management Database)
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Threat Intelligence
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
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