What is the official website of AppMetrica ?

The official website of AppMetrica is http://appmetrica.yandex.com/.

What is AppMetrica's cybersecurity risk score?

AppMetrica has an AI-generated cybersecurity risk score of 763 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has AppMetrica experienced?

According to Rankiteo, AppMetrica currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has AppMetrica been affected by any supply chain cyber incidents ?

According to Rankiteo, AppMetrica has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does AppMetrica have SOC 2 Type 1 certification ?

According to Rankiteo, AppMetrica is not certified under SOC 2 Type 1.

Does AppMetrica have SOC 2 Type 2 certification ?

According to Rankiteo, AppMetrica does not hold a SOC 2 Type 2 certification.

Does AppMetrica comply with GDPR ?

According to Rankiteo, AppMetrica is not listed as GDPR compliant.

Does AppMetrica have PCI DSS certification ?

According to Rankiteo, AppMetrica does not currently maintain PCI DSS compliance.

Does AppMetrica comply with HIPAA ?

According to Rankiteo, AppMetrica is not compliant with HIPAA regulations.

Does AppMetrica have ISO 27001 certification ?

According to Rankiteo,AppMetrica is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does AppMetrica operate in ?

AppMetrica operates primarily in the Technology, Information and Internet industry.

How many employees does AppMetrica have ?

AppMetrica employs approximately 1 people worldwide.

Does AppMetrica own any subsidiaries ?

AppMetrica presently has no subsidiaries across any sectors.

How many LinkedIn followers does AppMetrica have ?

AppMetrica's official LinkedIn profile has approximately 779 followers.

What is the NAICS classification code for AppMetrica ?

AppMetrica is classified under the NAICS code 513, which corresponds to Others.

Does AppMetrica have a Crunchbase profile ?

No, AppMetrica does not have a profile on Crunchbase.

Does AppMetrica have a LinkedIn profile ?

Yes, AppMetrica maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/appmetrica.

How many cybersecurity incidents has AppMetrica experienced ?

As of August 16, 2026, Rankiteo reports that AppMetrica has experienced 3 cybersecurity incidents.

How many peer or competitor companies does AppMetrica have ?

AppMetrica has an estimated 15,169 peer or competitor companies worldwide.

What types of cybersecurity incidents has AppMetrica faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach and Data Leak.

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AppMetrica

Boost Score +25 with badge (5 left)

763

/1000

Fair

788

/1000

Fair

AppMetrica Vendor Cyber Rating & Cyber Score

yandex.com

Add Your Compliance Badge

AppMetrica is a one-stop marketing platform for install attribution, app analytics, and push campaigns. Free & unlimited. The service was released by Yandex in 2013, since that time AppMetrica has grown from a startup into an established international service used by more than 4000 app creators around the world. AppMetrica allows to: - Analyze campaign performance in real time. Benefit from accurate tracking for all of traffic sources, whether it is user acquisition or retargeting campaigns. - View user properties, activity and engagement with AppMetrica's comprehensive set of reports. - Check out basic retention metrics or analyze user stickiness. Evaluate audience lifetime value and churn rate with the rolling retention report. -

AppMetrica A.I CyberSecurity Scoring

Scoring History

AppMetrica

AppMetrica CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

AppMetrica

Breach

100

8/2024

YAN000081124

AppMetrica

Breach

01/2023

YAN224381023

AppMetrica

Data Leak

2/2022

YAN21827123

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A.I.

AppMetrica Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for AppMetrica

Incidents vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for AppMetrica in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for AppMetrica in 2026.

Incident Types AppMetrica vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for AppMetrica in 2026.

Incident History - AppMetrica (X = Date, Y = Severity)

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SUBSIDIARY

AppMetrica Subsidiaries

AppMetrica

Technology, Information and Internet

Website: http://appmetrica.yandex.com/

Company Size: 51-200 employees

YandexTechnology, Information and Internet

Yandex Ads LATAMAdvertising Services

Yandex.MetricaТехнологии, информационные средства и Интернет

Yandex.TaxiTechnology, Information and Internet

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Jumia Group

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NEWS

AppMetrica CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-19917

SUMMARY

A flaw has been found in code-projects Online Food Order System 1.0. The impacted element is an unknown function of the file delete_food_items1.php. Executing a manipulation of the argument checkbox can lead to sql injection. The attack can be executed remotely. The exploit has been published and may be used.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: 6.3)

cvss2

Base Score: 6.5

Complexity: LOW

AV:N/AC:L/Au:S/C:P/I:P/A:P

cvss3

Base Score: 6.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

cvss4

Base Score: 2.1

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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

Impact Score

3.4

Exploitability

2.8

REFERENCES

CVE-2026-74767

SUMMARY

Pandora contains a denial-of-service vulnerability in its handling of DAA (Direct Access Archive) files. When extracting the internal ISO image from a DAA archive, compressed chunks were decompressed using zlib.decompress() without enforcing a limit on the resulting uncompressed data. An attacker able to submit a crafted DAA file containing highly compressed data could cause Pandora to decompress a relatively small input into a very large amount of data in memory. Because the decompressed chunks are accumulated to construct the internal ISO image, this could result in excessive memory consumption and potentially CPU exhaustion, causing the extraction worker to become unresponsive, terminate, or affect the availability of the Pandora service. The patch introduces bounded decompression using decompressobj().decompress() with max_extracted_filesize, verifies the cumulative size of decompressed chunks, and raises a dedicated ZipBomb exception when the configured limit is exceeded. Pandora then aborts extraction and reports the file as too large.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: )

cvss4

Base Score: 8.7

Complexity: 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:L/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

Impact Score

Exploitability

REFERENCES

https://github.com/pandora-analysis/pandora/commit/f4294a873f86fbf2569c289e329fff2f52ca50c9

CVE-2026-74764

SUMMARY

Pandora contains a path traversal vulnerability in its TAR archive extraction functionality. When processing a submitted TAR archive, the extractor passed archive member names directly to Python's tarfile.TarFile.extract() without applying an extraction filter. An attacker able to submit a specially crafted TAR archive containing malicious member paths, such as paths using ../ sequences or absolute paths, could cause extracted files to be written outside the intended extraction directory. This may allow the attacker to overwrite files accessible to the Pandora worker process and could potentially result in application compromise, arbitrary code execution, or denial of service depending on the files targeted and the privileges of the Pandora process. The vulnerability is corrected by using Python's filter='data' extraction filter, which rejects or sanitizes dangerous TAR members, including paths that escape the destination directory and unsafe link targets. The weakness corresponds to MITRE's general path traversal category, which includes archive extraction cases where attacker-controlled filenames cause files to be written outside the intended directory.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: )

cvss4

Base Score: 10.0

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:L/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

Impact Score

Exploitability

REFERENCES

https://github.com/pandora-analysis/pandora/commit/186b58d41e04248a154d274fffb5813e7fa2012e

CVE-2026-73055

SUMMARY

Shescape before 2.1.15 (and 3.0.0 before 3.0.2) fails to properly escape tilde (~) characters in assignment contexts on Unix systems where the shell is explicitly configured to "sh" or true and /bin/sh points to BusyBox. Using the escape and escapeAll APIs with untrusted input in an assignment prefixed to a command, an attacker can inject a tilde payload to disclose the user's home directory location and, depending on usage, alter the location on which a command operates.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: 4.8)

cvss3

Base Score: 4.8

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N

cvss4

Base Score: 9.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/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

Impact Score

2.5

Exploitability

2.2

REFERENCES

CVE-2026-73054

SUMMARY

SiYuan versions before v3.7.4 contain an authentication bypass vulnerability in the WebSocket endpoint caused by differential parsing of query parameters between authentication exemption and session quarantine checks. Unauthenticated attackers can craft a malicious WebSocket URI with duplicated query parameters to bypass access auth code validation and receive the live kernel event stream including document identifiers, titles, and operation logs.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: 7.5)

cvss3

Base Score: 7.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

cvss4

Base Score: 8.7

Complexity: 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: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

Impact Score

3.6

Exploitability

3.9

REFERENCES

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MEASURE

What Do We Measure ?

Incident

Finding

Grade

Digital Assets

Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.

These are some of the factors we use to calculate the overall score:

Network SecurityIdentify 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 IntelligenceLeverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.

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