Gemini agent-to-agent attack exposes secrets and enables pull request tampering
Photo: SOPA Images / techradar.com
Pillar Security researchers found that a low-privilege AI agent could be weaponized to compromise a more powerful one, leaking GitHub tokens and poisoning code reviews
Alphabet Inc. (GOOGL) price
Full chart and statsLoading chart…
- Last close
- $325
- Close-to-close change
- +1.3%
- Market cap
- $4.0T (shares as of 2026-06-30)
- P/E (trailing)
- 16.3 (EPS to 2026-06-30)
- Annual revenue
- $402.8B USD (FY ended 2025-12-31) 10-K
- Annual revenue growth
- +15.1% (FY ended 2025-12-31 vs FY ended 2024-12-31) 10-K
- Annual net income
- 132,170,000,000 USD (FY ended 2025-12-31, attributable to the company) 10-K
- Annual operating margin
- 32.0% (FY ended 2025-12-31)
- Forward P/E
- Unavailable: no dated forecast source
Gloria daily close for session Oct 28, 2026. Market cap and trailing P/E use this close with the SEC share total and trailing diluted earnings, each dated next to its figure. Annual revenue, revenue growth, net income and margin show their own fiscal period and link the 10-K. Current context may postdate this article.
Alphabet Inc. and its peers
| Company | Price | Market cap | P/E (trailing) | Forward P/E | Annual revenue (USD) | Annual revenue growth | Annual net income (USD) | Operating margin |
|---|---|---|---|---|---|---|---|---|
|
|
$325 | $4.0T | 16.3 | Unavailable | $402.8BFY ended 2025-12-31 · 10-K | +15.1%FY ended 2025-12-31 vs 2024-12-31 · 10-K | 132,170,000,000FY ended 2025-12-31, attributable to the company · 10-K | 32.0%FY ended 2025-12-31 |
|
|
$322 | $3.9T | 16.2 | Unavailable | $402.8BFY ended 2025-12-31 · 10-K | +15.1%FY ended 2025-12-31 vs 2024-12-31 · 10-K | 132,170,000,000FY ended 2025-12-31, attributable to the company · 10-K | 32.0%FY ended 2025-12-31 |
|
|
$612 | $1.6T | 20.9 | Unavailable | $201.0BFY ended 2025-12-31 · 10-K | +22.2%FY ended 2025-12-31 vs 2024-12-31 · 10-K | 60,458,000,000FY ended 2025-12-31, attributable to the company · 10-K | 41.4%FY ended 2025-12-31 |
|
|
$260 | $87.2B | 20.0 | Unavailable | $5.5BFY ended 2025-12-31 · 10-K | +70.0%FY ended 2025-12-31 vs 2024-12-31 · 10-K | 3,333,751,000FY ended 2025-12-31, attributable to the company · 10-K | 75.8%FY ended 2025-12-31 |
Missing figures stay unavailable. Forward P/E requires a dated source. Annual revenue, revenue growth, net income and margin come from each company's own 10-K, in US dollars, and each row shows that fiscal year. Revenue growth compares the fiscal year with the prior year stated in the same 10-K. Net income is the full year amount attributable to the company, or available to common stockholders where the filing states only that, or consolidated net income. Each row names its basis. Trailing P/E reads "Not meaningful" when the dated trailing diluted EPS is a loss or zero. An operating margin appears only when the filing states both the operating income and the revenue for the same year.
Sources: SEC filings, Gloria daily closes and CoinGecko. Oldest record refresh: Oct 28, 2026, 4:51 PM EDT. Refresh is not a price or filing date. Each row shows its price date and its annual fiscal period. Peers use industry code and company size, or editorial selection. Market cap multiplies that row price by the company share total the latest SEC filing states for every share class together. Trailing P/E divides it by trailing diluted earnings from SEC filings. Rolled earnings per share are approximate because share counts can change between periods. Both appear only when the SEC data carries its date, so they are estimates at one price date, not synchronized filing valuations. Not investment advice.
Token vs underlying stock
Current comparison for GOOGL. Historical observations may postdate this article.
GOOGLx token unit vs GOOGL share · USD
-10.2% over displayed period
● GOOGLx token┄ GOOGL stock: $324.89
Source: CoinGecko + Gloria · Retrieved Oct 29, 04:15 UTC
Methodology and data
Split-adjusted regular-session stock closes from the existing Gloria shared history, paired only with an observed token price within 45 minutes of 16:00 New York time. Up to 60 matched sessions. No interpolation or missing-date fill. Weekends and known early closes are omitted. Token units are not adjusted for issuer multipliers or dividend treatment. This compares quoted prices, not fair value, executable premiums or arbitrage returns. Solid line: token. Dashed line: stock. Exact quote times and values appear below. Historical observations. Retrieval refers to the token source. Token quote times use UTC. The fixed cohort shows its oldest member fetch.
| Date (UTC) | Token (USD) | Stock close (USD) | Token quote (UTC) |
|---|---|---|---|
| 2026-08-05 | 363.03 | 362.43 | 2026-08-05 20:00 |
| 2026-08-06 | 358.14 | 357.75 | 2026-08-06 20:00 |
| 2026-08-07 | 355.20 | 354.30 | 2026-08-07 20:00 |
| 2026-08-10 | 357.76 | 357.52 | 2026-08-10 20:00 |
| 2026-08-11 | 344.26 | 343.80 | 2026-08-11 20:00 |
| 2026-08-12 | 344.44 | 343.54 | 2026-08-12 20:00 |
| 2026-08-13 | 347.06 | 346.36 | 2026-08-13 20:00 |
| 2026-08-14 | 346.47 | 345.90 | 2026-08-14 20:00 |
| 2026-08-17 | 344.71 | 344.00 | 2026-08-17 20:00 |
| 2026-08-18 | 344.71 | 344.20 | 2026-08-18 20:00 |
| 2026-08-19 | 345.42 | 344.72 | 2026-08-19 20:00 |
| 2026-08-20 | 341.21 | 340.67 | 2026-08-20 20:00 |
| 2026-08-21 | 345.60 | 344.82 | 2026-08-21 20:00 |
| 2026-08-24 | 348.94 | 348.06 | 2026-08-24 20:00 |
| 2026-08-25 | 347.59 | 346.96 | 2026-08-25 20:00 |
| 2026-08-26 | 342.69 | 342.00 | 2026-08-26 20:00 |
| 2026-08-27 | 341.18 | 340.65 | 2026-08-27 20:00 |
| 2026-08-28 | 347.10 | 346.59 | 2026-08-28 20:00 |
| 2026-08-31 | 339.89 | 339.35 | 2026-08-31 20:00 |
| 2026-09-01 | 335.42 | 335.02 | 2026-09-01 20:00 |
| 2026-09-02 | 337.78 | 337.12 | 2026-09-02 20:00 |
| 2026-09-03 | 342.96 | 342.48 | 2026-09-03 20:00 |
| 2026-09-04 | 339.38 | 338.46 | 2026-09-04 20:00 |
| 2026-09-08 | 338.99 | 338.36 | 2026-09-08 20:00 |
| 2026-09-09 | 331.31 | 330.65 | 2026-09-09 20:00 |
| 2026-09-10 | 333.00 | 332.60 | 2026-09-10 20:00 |
| 2026-09-11 | 339.44 | 338.50 | 2026-09-11 20:00 |
| 2026-09-14 | 350.02 | 349.39 | 2026-09-14 20:00 |
| 2026-09-15 | 345.54 | 344.98 | 2026-09-15 20:00 |
| 2026-09-16 | 343.72 | 342.87 | 2026-09-16 20:00 |
| 2026-09-17 | 348.19 | 347.33 | 2026-09-17 20:00 |
| 2026-09-18 | 349.96 | 349.54 | 2026-09-18 20:00 |
| 2026-09-21 | 355.68 | 354.97 | 2026-09-21 20:00 |
| 2026-09-22 | 351.84 | 351.16 | 2026-09-22 20:00 |
| 2026-09-23 | 338.83 | 337.83 | 2026-09-23 20:00 |
| 2026-09-24 | 343.15 | 342.36 | 2026-09-24 20:00 |
| 2026-09-25 | 344.56 | 343.92 | 2026-09-25 20:00 |
| 2026-09-28 | 343.44 | 342.75 | 2026-09-28 20:00 |
| 2026-09-29 | 341.65 | 340.92 | 2026-09-29 20:00 |
| 2026-09-30 | 344.99 | 344.08 | 2026-09-30 20:00 |
| 2026-10-01 | 339.14 | 338.24 | 2026-10-01 20:00 |
| 2026-10-02 | 344.17 | 343.50 | 2026-10-02 20:00 |
| 2026-10-05 | 347.05 | 346.47 | 2026-10-05 20:00 |
| 2026-10-06 | 348.53 | 347.68 | 2026-10-06 20:00 |
| 2026-10-07 | 351.27 | 350.50 | 2026-10-07 20:00 |
| 2026-10-08 | 348.51 | 348.29 | 2026-10-08 20:00 |
| 2026-10-09 | 352.71 | 351.66 | 2026-10-09 20:00 |
| 2026-10-12 | 353.57 | 352.72 | 2026-10-12 20:00 |
| 2026-10-13 | 354.45 | 353.78 | 2026-10-13 20:00 |
| 2026-10-14 | 347.97 | 347.64 | 2026-10-14 20:00 |
| 2026-10-15 | 350.19 | 349.22 | 2026-10-15 20:00 |
| 2026-10-16 | 341.50 | 340.59 | 2026-10-16 20:00 |
| 2026-10-19 | 345.25 | 344.18 | 2026-10-19 20:00 |
| 2026-10-20 | 340.61 | 340.28 | 2026-10-20 20:00 |
| 2026-10-21 | 335.85 | 334.76 | 2026-10-21 20:00 |
| 2026-10-22 | 324.33 | 324.22 | 2026-10-22 20:00 |
| 2026-10-23 | 321.30 | 320.21 | 2026-10-23 20:00 |
| 2026-10-26 | 317.69 | 316.80 | 2026-10-26 20:00 |
| 2026-10-27 | 321.43 | 320.58 | 2026-10-27 20:00 |
| 2026-10-28 | 325.97 | 324.89 | 2026-10-28 20:00 |
Stock history: Gloria · Retrieved Oct 29, 00:31 UTC. Token history: CoinGecko GOOGLx.
Quoted token and share units can have different rights, multipliers and dividend treatment. This is not an executable premium or arbitrage signal.
Pillar Security published research on August 3, 2026, detailing a novel attack against Google’s open-source Agent Development Kit for Python, specifically targeting workflows inside the gemini-cli GitHub repository. The exploit works by injecting malicious instructions into a low-privilege AI agent, which then triggers a more powerful, maintainer-only agent, pulling off what researchers are calling the first real-world instance of one AI agent compromising another with elevated privileges.
The gemini-cli repository has logged over 90 million downloads.
How the attack actually works
The attack chain begins with a public GitHub issue or pull request laced with a prompt injection payload. Gemini-cli uses AI agents for routine tasks like issue triaging and pull request review, and these agents operate at different privilege tiers. The low-privilege agent, the one anyone can interact with by filing an issue, gets manipulated first. That agent then inadvertently triggers the maintainer-level agent, which carries far more authority.
Those actions include exfiltrating GitHub tokens that carry pull-request write permissions. With those tokens, an attacker could submit deceptive pull requests that appear to carry legitimate AI review approvals, a supply chain poisoning scenario that would be extremely difficult to detect in fast-moving CI/CD pipelines.
Pillar Security released this research as part of a series it calls the “Week of Sandbox Escapes.” Google moved quickly to patch the underlying bug, but declined to issue a bug bounty reward, citing the attack’s reliance on social engineering as the reason it fell outside bounty criteria.
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Why this is a bigger deal than one patched bug
What’s new here is the agent-to-agent escalation: one AI system being used as a stepping stone to compromise a more privileged one. Trust hierarchies between agents can be exploited just like trust hierarchies between human users in traditional privilege escalation attacks.
The gemini-cli case targets a CI/CD pipeline, the automated infrastructure that builds, tests, and deploys software. Compromising that layer doesn’t just affect one repository—it affects every downstream project and user that depends on software built from tainted code.
What investors and developers need to watch
The Pillar Security researchers specifically called for organizations to rethink their security architectures to include distinct agent identities, tighter access controls, and threat models that account for agent-to-agent interactions.
Agents operating in shared repositories interact with content submitted by the public, which is functionally equivalent to letting untrusted input flow directly into privileged systems. Fixing that requires rethinking how agents are deployed, not just patching individual vulnerabilities.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
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