What is the official website of Spotify for Backstage ?

The official website of Spotify for Backstage is http://backstage.spotify.com.

What is Spotify for Backstage's cybersecurity risk score?

Spotify for Backstage has an AI-generated cybersecurity risk score of 771 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Spotify for Backstage experienced?

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

Has Spotify for Backstage been affected by any supply chain cyber incidents ?

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

Does Spotify for Backstage have SOC 2 Type 1 certification ?

According to Rankiteo, Spotify for Backstage is not certified under SOC 2 Type 1.

Does Spotify for Backstage have SOC 2 Type 2 certification ?

According to Rankiteo, Spotify for Backstage does not hold a SOC 2 Type 2 certification.

Does Spotify for Backstage comply with GDPR ?

According to Rankiteo, Spotify for Backstage is not listed as GDPR compliant.

Does Spotify for Backstage have PCI DSS certification ?

According to Rankiteo, Spotify for Backstage does not currently maintain PCI DSS compliance.

Does Spotify for Backstage comply with HIPAA ?

According to Rankiteo, Spotify for Backstage is not compliant with HIPAA regulations.

Does Spotify for Backstage have ISO 27001 certification ?

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

Which industry does Spotify for Backstage operate in ?

Spotify for Backstage operates primarily in the Technology, Information and Internet industry.

How many employees does Spotify for Backstage have ?

Spotify for Backstage employs approximately None employees people worldwide.

Does Spotify for Backstage own any subsidiaries ?

Spotify for Backstage presently has no subsidiaries across any sectors.

How many LinkedIn followers does Spotify for Backstage have ?

Spotify for Backstage's official LinkedIn profile has approximately 13,220 followers.

What is the NAICS classification code for Spotify for Backstage ?

Spotify for Backstage is classified under the NAICS code 513, which corresponds to Others.

Does Spotify for Backstage have a Crunchbase profile ?

No, Spotify for Backstage does not have a profile on Crunchbase.

Does Spotify for Backstage have a LinkedIn profile ?

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

How many cybersecurity incidents has Spotify for Backstage experienced ?

As of June 23, 2026, Rankiteo reports that Spotify for Backstage has not experienced any cybersecurity incidents.

How many peer or competitor companies does Spotify for Backstage have ?

Spotify for Backstage has an estimated 14,827 peer or competitor companies worldwide.

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771

/1000

Fair

796

/1000

Fair

Spotify for Backstage Vendor Cyber Rating & Cyber Score

spotify.com

Add Your Compliance Badge

Build like Spotify. Backstage is an open platform for building internal developer portals (IDPs) that was created at Spotify, donated to the Cloud Native Computing Foundation, and has been adopted by thousands of companies around the world.

SB A.I CyberSecurity Scoring

Scoring History

Spotify for Backstage CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

SB 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 SB

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

No incidents recorded for Spotify for Backstage in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Spotify for Backstage in 2026.

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

No incidents recorded for Spotify for Backstage in 2026.

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

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SUBSIDIARY

Spotify for Backstage Subsidiaries

Parent Company

SB

Technology, Information and Internet

Website: http://backstage.spotify.com

Company Size: 5,001-10,000 employees

No subsidiary data available for this company.

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Taobao Marketplace

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Launched in May 2003, Taobao Marketplace (www.taobao.com) is the online shopping destination of choice for Chinese consumers looking for wide selection, value and convenience. Shoppers choose from a wide range of products and services on Taobao Marketplace, which features hundreds of millions of product and service listings. Taobao Marketplace was China's largest online shopping destination in terms of gross merchandise volume in 2013, according to iResearch. In addition, the Mobile Taobao App was the most popular mobile commerce app in China from August 2012 to July 2014 in terms of mobile monthly active users, according to iResearch. Taobao Marketplace is a business within Alibaba Group.

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Zomato’s mission statement is “better food for more people.” Since our inception in 2010, we have grown tremendously, both in scope and scale - and emerged as India’s most trusted brand during the pandemic, along with being one of the largest hyperlocal delivery networks in the country. Today, Zomato represents a wide range of cultures through its diversified 5000+ team members, 3.5 lakh+ delivery partners, and our biggest collective of the finest restaurant partners. We are grateful that our business is able to provide upward social and economic movement for millions of households – of our delivery partners, as well as restaurant staff. We think of all of us as one big family! Our passion is driven by purpose and we take immense pride in our initiative ‘Feeding India’, one of India’s largest not-for-profits working to ensure that nobody in India goes to bed hungry. As of now, Feeding India provides over 150,000 nutritious meals to the underprivileged every day. In April 2020, Feeding India ran one of the largest food distribution drives in the world during the first wave of COVID, and distributed 78 million meals to daily wagers across the length and breadth of the country. During the second wave of COVID-19, Feeding India was again the first to act. We were able to source over 9,000 oxygen concentrators and distributed them for free to government hospitals across the country. This helped save millions of lives during one of the worst humanitarian crises faced by India in the recent times. We’re innovating hard to make last-mile delivery carbon neutral, to eliminate the use of plastic packaging, create meaningful opportunities in the gig economy, and to feed our country’s ever-growing appetite for high-quality, affordable, and hygienic food, one delivery at a time!

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-54236

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 5.3)

cvss3

Base Score: 5.3

Complexity: LOW

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

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-54235

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 6.9

Complexity: LOW

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

Exploitability

REFERENCES

CVE-2026-54233

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

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

Impact Score

3.6

Exploitability

2.8

REFERENCES

CVE-2026-54232

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 8.8)

cvss3

Base Score: 8.8

Complexity: LOW

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

Impact Score

5.9

Exploitability

2.8

REFERENCES

https://github.com/vllm-project/vllm/security/advisories/GHSA-jrf6-vqxq-pjv2

CVE-2026-53923

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

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

Impact Score

Exploitability

REFERENCES

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